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#Model Optimization

Showing: 145 courses
Stanford University

Transformers that Transform Well Enough to Support Near-Shallow Architectures - Stanford CS25 Lecture

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Explore precision language models for efficient training and hardware-based control systems. Learn about non-random parameter initializations and applications in resource-limited environments.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

Large Language Models - Will They Keep Getting Bigger?

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Explore the future of large language models, discussing scaling challenges, sparse mixtures of experts, improved prompting techniques, and new forms of supervision for enhanced NLP performance.
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50 Lesons
56 minutes
On-Demand
Free-Video
MIT HAN Lab

EfficientML.ai Lecture - Introduction to Efficient Machine Learning

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Dive into the world of efficient machine learning with this comprehensive lecture from MIT HAN Lab. Explore cutting-edge techniques and strategies for optimizing ML models, reducing computational costs, and improving overall performance. Learn from exper…
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1 Lesons
1 hour 31 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Leaner, Greener and Faster PyTorch Inference with Quantization

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Explore PyTorch quantization techniques to optimize neural networks, reducing size and improving speed without sacrificing accuracy. Learn implementation strategies and real-world applications.
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1 Lesons
1 hour 38 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Efficiently Fine-Tune and Serve Your Own LLMs

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Learn to efficiently fine-tune and deploy large language models, optimizing performance and resource utilization for production environments.
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1 Lesons
42 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Beyond the Model Zoo - Optimizing Foundation Models for Your Application

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Optimize foundation models for specific applications, exploring techniques beyond pre-trained models to enhance performance and efficiency in machine learning projects.
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1 Lesons
31 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Using Reproducible Experiments to Create Better Machine Learning Models

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Enhance ML model efficiency through reproducible experiments. Learn to track hyperparameter, code, and data changes using DVC for grid and random search tuning methods.
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1 Lesons
30 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

A Gentle Introduction to Sparsity with a Concrete Example

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Explore sparsification techniques for ML models, including popular methods and a concrete example to understand their benefits.
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1 Lesons
26 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Accelerating Transformers with Hugging Face Optimum and Infinity

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Explore techniques to accelerate Transformer models using Hugging Face's Optimum library and Infinity solution for millisecond-scale latencies in production environments.
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1 Lesons
1 hour 28 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Enhance Cost Efficiency in Domain Adaptation with PruneMe

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Optimize LLMs through layer pruning, enabling cost-effective domain adaptation and model merging for improved performance in specific applications.
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1 Lesons
17 minutes
On-Demand
Free-Video
MIT HAN Lab

TinyEngine: Transformer and Large Language Models - Lecture 12

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Dive into Transformer and LLM architectures, exploring their applications and optimizations for efficient machine learning on resource-constrained devices.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video

Learn TensorFlow and Deep Learning Fundamentals with Python - Code-First Introduction Part 2/2

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Dive deep into TensorFlow and Python, mastering non-linear models, multi-class classification, and advanced techniques for optimizing neural networks and evaluating their performance.
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24 Lesons
3 hours 58 minutes
On-Demand
Free-Video
Data Science Dojo

Text Analytics Crash Course with R

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Learn text analytics fundamentals, data processing, machine learning models, and visualization techniques using R. Master handling big data and optimizing models for valuable insights from unstructured text.
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12 Lesons
6 hours 9 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Como usar Nvidia TensorRT SDK para Inferencia en GPU

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Optimiza la inferencia en GPU con Nvidia TensorRT SDK, convirtiendo modelos y comparando tiempos de ejecución en diferentes precisiones de datos.
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1 Lesons
40 minutes
On-Demand
Free-Video
tinyML

Advanced Anomaly Detection Made Easy

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Advanced anomaly detection techniques for embedded ML, focusing on custom DSP blocks, feature importance, and threshold optimization. Learn to implement these methods for various IoT applications using Edge Impulse.
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36 Lesons
1 hour
On-Demand
Free-Video
Alan Turing Institute

Reinforcement and Mean-Field Games in Algorithmic Trading - Sebastian Jaimungal

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Explore reinforcement learning and mean-field games in algorithmic trading, covering deep Q-learning, reinforced deep Kalman filters, and heterogeneous agent interactions with differing beliefs in financial markets.
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16 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Databricks

AutoML Toolkit Deep Dive - Automating Feature Engineering and Model Optimization

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Explore Databricks Labs' AutoML Toolkit for automating feature engineering, model selection, tuning, and deployment. Learn to accelerate machine learning workflows and enhance productivity.
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24 Lesons
1 hour
On-Demand
Free-Video
Databricks

Augmenting Machine Learning with Databricks Labs AutoML Toolkit

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Explore how Databricks Labs AutoML Toolkit simplifies and optimizes machine learning processes, from data preparation to model optimization, using financial loan risk data examples.
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16 Lesons
30 minutes
On-Demand
Free-Video
Simulation Lab

3D Printing with 3ds Max + TyFlow - Fastest Way to Clean Your Models

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Learn efficient techniques to optimize 3D models for printing using TyFlow's VDB tools in 3ds Max. Discover how to create clean, water-tight meshes and avoid common printing issues.
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7 Lesons
26 minutes
On-Demand
Free-Video
Reallusion

3DXchange 6 Tutorial - Optimizing Sketchup Models for Architectural Rendering

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Learn to optimize Sketchup models for rendering in iClone and Indigo. Covers techniques like excluding back faces, smoothing normals, creating sub-props, merging identical meshes, and setting pivot points for efficient customization.
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6 Lesons
26 minutes
On-Demand
Free-Video
Freedom Arts - 3D Animation & Game Developer

CC3 to Smile Game Builder - Maya Bone Reduction Method

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Step-by-step tutorial on reducing bones in Maya for exporting CC3 characters to Smile Game Builder, with real-time demonstrations and helpful links for game development tools.
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1 Lesons
40 minutes
On-Demand
Free-Video
Pixologic ZBrush

3D Printing: Sculpting, Detailing, and Preparation for Resin Printing - Week 3

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Learn advanced 3D printing techniques for resin models, including layered sculpting, detail optimization, and print preparation. Gain insights on client approaches and industry trends.
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51 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Pixologic ZBrush

ZBrush 2024 - Cosmo Armor 3D Printing Preparation Tutorial

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Explore ZBrush 2024 techniques for 3D printing cosplay armor with Ian Robinson. Learn about model preparation, detailing, and optimization for successful costume creation.
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45 Lesons
1 hour 53 minutes
On-Demand
Free-Video
Pixologic ZBrush

3D Printing Post-Production: Exporting and Slicing - Week 4

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Explore advanced 3D printing techniques, from ZBrush export to Lychee Slicer optimization. Learn model preparation, support structures, hollowing, and troubleshooting for successful prints.
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58 Lesons
1 hour 43 minutes
On-Demand
Free-Video
Data Science Conference

Lightweight Deep Learning on Edge Devices - Energy Efficient Approaches

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Discover efficient deep learning techniques for edge devices, focusing on energy-saving approximation methods that maintain accuracy while improving performance on smartphones and IoT devices.
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13 Lesons
32 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Efficient Edge Computing: Unleashing the Potential of AI/ML with Lightweight Kubernetes

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Explore deploying AI/ML models in edge scenarios, comparing traditional and lightweight Kubernetes distributions. Learn strategies for efficient edge computing, including power consumption, model size, and performance optimization.
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1 Lesons
21 minutes
On-Demand
Free-Video
Linux Foundation

Bringing AI to the Heterogeneous Edge with WebAssembly and ONNX

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Explore deploying AI workloads to edge devices using WebAssembly and ONNX, addressing challenges of heterogeneous environments, security, and resource constraints in a multiplatform development approach.
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1 Lesons
33 minutes
On-Demand
Free-Video
Freedom Arts - 3D Animation & Game Developer

Importing Geopipe New York City 3D Models into Unreal Engine 5.1 - Game Ready with Collision

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Step-by-step guide to import New York City 3D models from Geopipe into Unreal Engine 5.1, creating a game-ready scene with perfect collision for immersive game development projects.
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1 Lesons
22 minutes
On-Demand
Free-Video
Freedom Arts - 3D Animation & Game Developer

Importing 100 Mixamo Characters into Smile Game Builder

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Learn to import 100 free Mixamo characters into Smile Game Builder using 3DXchange and Simplygon. Step-by-step tutorial covers workflow and software integration for game development.
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1 Lesons
56 minutes
On-Demand
Free-Video
MIT HAN Lab

LLM Deployment Techniques - Lecture 13

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Dive into advanced LLM deployment strategies, covering optimization techniques, infrastructure scaling, and practical implementation methods for efficient large language model deployment.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
MIT HAN Lab

EfficientML.AI - Introduction to Efficient Machine Learning

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Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods.
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1 Lesons
1 hour 36 minutes
On-Demand
Free-Video
MIT HAN Lab

LLM Deployment Techniques - Lecture 13

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Dive into advanced LLM deployment strategies, covering optimization techniques, infrastructure scaling, and practical implementation methods for efficient large language model deployment in production environments.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
AI Bites

Quantization in Deep Learning: Types, Algorithms, and Implementation

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Explore quantization techniques in deep learning, from uniform to non-uniform approaches, and learn practical implementation strategies for optimizing large-scale neural networks.
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5 Lesons
13 minutes
On-Demand
Free-Video
AI Bites

QLoRA: Efficient Training of Large Language Models Using Quantization and Low-Rank Adaptation

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Discover how QLoRA enables efficient training of large language models on a single GPU through innovative techniques like NormalFloat, Double Quantization, and Paged Optimizers.
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10 Lesons
12 minutes
On-Demand
Free-Video
Discover AI

CriticGPT: Understanding RLHF and Force Sampling Beam Search Optimization

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Dive into OpenAI's innovative CriticGPT algorithm, exploring how RLHF and Force Sampling Beam Search optimize language models and enhance their reliability.
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1 Lesons
26 minutes
On-Demand
Free-Video
Discover AI

LoftQ: Understanding LoRA-Fine-Tuning-aware Quantization for LLMs

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Dive into LoftQ, a groundbreaking LLM quantization method that combines with LoRA to achieve superior performance and efficiency in large language models.
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8 Lesons
14 minutes
On-Demand
Free-Video
Discover AI

ChatGPT vs Flan-T5: Comparing Proprietary and Free LLMs with Performance Tuning

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Explore the differences between ChatGPT and Flan-T5 LLM models, comparing their capabilities, accessibility, and performance optimization through practical demonstrations and hyperparameter tuning techniques.
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1 Lesons
12 minutes
On-Demand
Free-Video
Discover AI

Running Flan-T5-XL Model on Google Colab - A Free Self-Explaining Language Model

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Discover how to implement and optimize the Flan-T5-XL language model on Google Colab, exploring its capabilities in reasoning, essay writing, and translation tasks while working within free resource constraints.
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1 Lesons
18 minutes
On-Demand
Free-Video
UofU Data Science

Faster and Cheaper LLMs with Weight and Key-value Cache Quantization

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Explore advanced techniques for optimizing Large Language Models through weight and key-value cache quantization methods to improve speed and reduce computational costs.
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1 Lesons
55 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Accelerating High-Performance Machine Learning at Scale in Kubernetes

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Hands-on guide for deploying optimized machine learning models in cloud native ecosystems, focusing on GPT-2 NLP model deployment in Kubernetes using ONNX Runtime and Seldon Core Triton server.
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1 Lesons
36 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

EfficientNetV2 - Smaller Models and Faster Training - Paper Explained

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Explore EfficientNetV2's improved image classification performance, including progressive training, Fused-MBConv layer, and novel reward function for Neural Architecture Search.
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7 Lesons
28 minutes
On-Demand
Free-Video
Yannic Kilcher

How to Make Your CPU as Fast as a GPU - Advances in Sparsity with Nir Shavit

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Explore advances in sparsity and how CPUs can match GPU performance in neural networks. Learn about pruning, efficient algorithms, and the future of sparse architectures in deep learning.
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21 Lesons
50 minutes
On-Demand
Free-Video
Yannic Kilcher

Noether Networks - Meta-Learning Useful Conserved Quantities

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Explore Noether Networks: a novel approach to meta-learning conserved quantities in sequential prediction problems, inspired by Noether's theorem and aimed at discovering useful symmetries and inductive biases.
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10 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Open Data Science

Bringing Choice, Automation and Performance to ML Deployment with Apache TVM and the OctoML Platform

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Explore Apache TVM for ML deployment across diverse hardware, offering performance optimization and portability. Learn about OctoML's Octomizer for continuous model optimization and benchmarking.
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10 Lesons
30 minutes
On-Demand
Free-Video
Graham Neubig

Debugging Neural Nets for NLP

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Comprehensive guide to diagnosing and resolving issues in neural networks for NLP, covering training, decoding, overfitting, and optimization techniques.
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17 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Debugging Neural Nets

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Learn techniques for identifying and resolving issues in neural networks for NLP, covering training and test-time problems, optimization strategies, and performance analysis.
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25 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Nerdy Rodent

LORA for Stable Diffusion - Dreambooth Extension - 6GB VRAM

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Learn to train custom AI models using LORA Dreambooth for Stable Diffusion, even with limited 6GB VRAM. Discover faster, smaller, and improved techniques for personalized image generation.
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1 Lesons
22 minutes
On-Demand
Free-Video
1littlecoder

XGBoost and Data Leakage in Machine Learning - Day 14 of 30 Days of ML

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Explore XGBoost and data leakage in machine learning. Learn to build optimized models, prevent leakage issues, and enhance your ML skills with practical tutorials and exercises.
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1 Lesons
37 minutes
On-Demand
Free-Video
Databricks

Improving the Life of Data Scientists - Automating ML Lifecycle through MLflow

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Explore Flock, an end-to-end platform leveraging MLflow to automate and simplify enterprise-grade machine learning, enhancing data scientist productivity and addressing regulatory challenges in ML adoption.
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17 Lesons
36 minutes
On-Demand
Free-Video
Data Science Dojo

Model Optimization - Series Conclusion - Introduction to Text Analytics with R

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Optimize text analytics models, explore sensitivity/specificity tradeoffs, and discover resources for further study in R. Learn feature engineering and algorithm selection for improved effectiveness.
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1 Lesons
27 minutes
On-Demand
Free-Video
Yannic Kilcher

Movement Pruning - Adaptive Sparsity by Fine-Tuning

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Explore Movement Pruning, an adaptive sparsity technique for fine-tuning deep neural networks. Learn its advantages over Magnitude Pruning in transfer learning scenarios and its impact on model efficiency.
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8 Lesons
30 minutes
On-Demand
Free-Video
Yannic Kilcher

Deconstructing Lottery Tickets - Zeros, Signs, and the Supermask

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Explores the Lottery Ticket Hypothesis, analyzing key components of sparse networks and uncovering insights on weight initialization, sign importance, and the concept of Supermasks in neural network training.
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1 Lesons
36 minutes
On-Demand
Free-Video
Yannic Kilcher

Turing-NLG, DeepSpeed and the ZeRO Optimizer

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Explore Microsoft's 17-billion parameter language model, ZeRO optimizer, and DeepSpeed, enabling efficient model and data parallelism for state-of-the-art natural language processing breakthroughs.
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1 Lesons
21 minutes
On-Demand
Free-Video
Yannic Kilcher

RoBERTa - A Robustly Optimized BERT Pretraining Approach

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Explore how RoBERTa improves BERT's performance through optimized training, challenging recent model enhancements and highlighting the impact of hyperparameter choices in language model pretraining.
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1 Lesons
19 minutes
On-Demand
Free-Video
Derek Banas

Convolutional Neural Networks with TensorFlow 2022

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Comprehensive live-coding tutorial on Convolutional Neural Networks using TensorFlow, covering data preparation, model architecture, optimization techniques, and practical applications in image recognition and object detection.
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1 Lesons
1 hour 42 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Audio Processing in Keras with Kapre

0 rewiews
Learn to process audio in Keras using Kapre, exploring its advantages, features, and implementation. Discover how to embed audio transformations within deep learning models for optimized GPU-based calculations and easier deployment.
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10 Lesons
28 minutes
On-Demand
Free-Video
sentdex

Open AI's Whisper Is Amazing

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Explore OpenAI's Whisper, a powerful speech recognition model capable of transcribing and translating 97 languages, with insights on its implementation, training, and performance.
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13 Lesons
26 minutes
On-Demand
Free-Video
Open Data Science

Leaner and Greener AI with Quantization in PyTorch - Suraj Subramanian

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Discover how quantization in PyTorch can make AI models lighter, faster, and more power-efficient without compromising accuracy. Learn techniques and workflows from an ML expert at Meta AI.
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8 Lesons
28 minutes
On-Demand
Free-Video
Databricks

Tuning Machine Learning Models - Scaling, Workflows, and Architecture

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Automating and scaling ML model tuning using Hyperopt and Apache Spark. Best practices for workflows, architecture, and optimization in hyperparameter tuning for improved performance and accuracy.
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10 Lesons
24 minutes
On-Demand
Free-Video
Databricks

Scaling Up AI Research to Production with PyTorch and MLFlow

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Explore PyTorch's latest advancements in AI research and production, including distributed training, model optimization, and deployment using MLFlow, with insights on scaling and efficiency.
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30 Lesons
44 minutes
On-Demand
Free-Video
tinyML

1 kB and Not a Bit More - The Ideal Weight for a TinyML Model

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Explore automated creation of ultra-compact ML models for tiny smart devices, enabling efficient embedding in memory-constrained hardware without data science expertise.
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18 Lesons
35 minutes
On-Demand
Free-Video
Nvidia

NVIDIA Tools for Training and Deploying Intelligent Vision Applications at the Edge

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Discover tools for training, building, and deploying intelligent vision applications at the edge using NVIDIA's suite for video analytics pipelines and IoT devices.
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26 Lesons
1 hour 1 minute
On-Demand
Free-Video
Nvidia

Inference and Quantization for AI - Session 3

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Explore quantized inference, TensorRT 5, and TensorFlow integration for AI model optimization. Learn about NVIDIA's inference server and techniques to improve model efficiency and performance.
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33 Lesons
41 minutes
On-Demand
Free-Video
tinyML

On-Device Speech Models Optimization and Deployment for Mobile Hardware

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Explore on-device speech model optimization and deployment, covering streaming-aware design, quantization techniques, and benchmarks for popular speech processing model topologies on mobile platforms.
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15 Lesons
26 minutes
On-Demand
Free-Video
tinyML

Tiny Models with Big Appetites: Cultivating the Perfect Data Diet for Computer Vision

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Explore techniques for curating optimal training datasets and designing sampling strategies for tiny computer vision models, emphasizing data quality and model robustness in real-world environments.
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14 Lesons
21 minutes
On-Demand
Free-Video
tinyML

Delta Keyword Transformer: Bringing Transformers to the Edge Through Dynamically Pruned Multi-Head Self-Attention

0 rewiews
Explore cutting-edge techniques for optimizing Transformers in edge computing, focusing on the Delta Keyword Transformer and its dynamic pruning approach for efficient multi-head self-attention.
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13 Lesons
21 minutes
On-Demand
Free-Video
tinyML

Embedded Machine Learning in the Real World

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Explore embedded ML applications, challenges, and opportunities in real-world scenarios, focusing on tiny models, accelerated hardware, and practical tooling.
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11 Lesons
27 minutes
On-Demand
Free-Video
tinyML

Tiny but Powerful: Hardware for High Performance, Low Power Machine Learning

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Explore cutting-edge hardware for ultra-low power machine learning at the edge, covering TinyML applications, model optimization, and emerging trends in efficient computing.
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16 Lesons
1 hour
On-Demand
Free-Video
tinyML

Train One Network and Specialize It for Efficient Deployment

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Explore efficient neural network deployment across diverse devices using the Once-for-All network approach, which enables quick specialization without retraining and outperforms state-of-the-art methods on edge devices.
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19 Lesons
36 minutes
On-Demand
Free-Video
tinyML

Avoiding Loss of Quality in Tiny Models - Neuton.ai Partner Session

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Explore compact AI models without sacrificing quality. Learn to assess model quality, understand decision-making logic, evaluate training data, and interpret model outputs for tinyML applications.
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23 Lesons
1 hour 2 minutes
On-Demand
Free-Video
tinyML

Hardware Aware Training for Efficient Keyword Spotting - tinyML Research Symposium 2021

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Explore hardware-aware training for efficient keyword spotting, focusing on Legendre Memory Unit networks to achieve state-of-the-art accuracy and power efficiency on various hardware platforms.
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10 Lesons
23 minutes
On-Demand
Free-Video
Linux Foundation

How Amazon Search Leverages PyTorch to Build and Deploy LLMs in Production

0 rewiews
Explore Amazon Search's innovative use of PyTorch and its ecosystem for building and deploying large language models in production environments.
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1 Lesons
31 minutes
On-Demand
Free-Video
Open Data Science

ML On-Device: Building Efficient Models

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Explore on-device machine learning for efficient, privacy-preserving models on mobile and edge devices. Learn about real-time AI applications, model optimization, and deployment strategies.
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5 Lesons
34 minutes
On-Demand
Free-Video
deeplizard

CNN Training Loop Explained - Neural Network Code Project

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Learn to build a convolutional neural network training loop using Python and PyTorch. Gain practical skills in implementing deep learning algorithms for image processing tasks.
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1 Lesons
22 minutes
On-Demand
Free-Video
Linux Foundation

Hyperparameter Tuning Using Kubeflow

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Explore automated machine learning with Katib, a Kubernetes-native platform for hyperparameter tuning and neural architecture search, enhancing model performance efficiently.
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21 Lesons
35 minutes
On-Demand
Free-Video
Linux Foundation

AI Model Efficiency Toolkit

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Explore cutting-edge techniques for optimizing AI models with Qualcomm's toolkit, enhancing performance and efficiency in machine learning applications.
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1 Lesons
53 minutes
On-Demand
Free-Video
Yannic Kilcher

ORPO: Monolithic Preference Optimization without Reference Model

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Innovative approach to language model preference alignment without separate fine-tuning, achieving state-of-the-art performance using odds ratio optimization across various model sizes.
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1 Lesons
33 minutes
On-Demand
Free-Video
Linux Foundation

Prompt Engineering with Watsonx - Workshop

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Aprenda técnicas de engenharia de prompts para otimizar modelos de linguagem, equilibrando inteligência e segurança. Exercícios práticos para dominar habilidades essenciais na interação com LLMs.
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1 Lesons
37 minutes
On-Demand
Free-Video
Data Science Dojo

Leveraging Open-Source LLMs for Production

0 rewiews
Explore open-source LLMs, comparing them to proprietary options. Learn about hosting costs, performance evaluation, and practical applications. Gain insights into fine-tuning techniques and emerging trends in AI development.
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11 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Open Data Science

PyTorch 2.1 - New Features and Accelerating Generative AI Models

0 rewiews
Explore PyTorch 2.1's new features for AI model acceleration, including compile, distributed, inference, and edge technologies, with insights on optimizing generative AI models for enhanced performance.
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6 Lesons
26 minutes
On-Demand
Free-Video
media.ccc.de

Shrinking Deep Learning Models: Techniques and Energy Considerations

0 rewiews
Explore techniques to shrink deep learning models, reduce energy consumption, and run advanced architectures on commodity hardware. Gain insights into model efficiency and accessibility.
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1 Lesons
41 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Strategies for Efficient LLM Deployments in Any Cluster

0 rewiews
Explore strategies to optimize LLM deployments in Kubernetes clusters, focusing on reducing model size, improving resource utilization, and balancing performance with efficiency for cloud-to-edge scenarios.
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1 Lesons
31 minutes
On-Demand
Free-Video
Yacine Mahdid

Stochastic Depth for Neural Networks - Implementation and Analysis

0 rewiews
Explore stochastic depth in neural networks: a regularization method for residual networks that enhances training speed and test performance. Includes methodology explanation and PyTorch implementation.
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14 Lesons
27 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLM Efficient Inference in CPUs and Intel GPUs - Intel Neural Speed

0 rewiews
Optimize LLM inference on Intel CPUs and GPUs using Neural Speed. Explore efficient techniques for enhanced performance in machine learning and data science applications.
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1 Lesons
30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Using Nvidia TensorRT SDK for GPU Inference

0 rewiews
Optimize GPU inference using Nvidia TensorRT SDK. Convert models, compare throughput, and explore batch sizes, data precision, and runtime options for enhanced performance.
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1 Lesons
34 minutes
On-Demand
Free-Video
MIT HAN Lab

EfficientML.ai Lecture - Introduction to Efficient Machine Learning

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Explore cutting-edge techniques for optimizing machine learning models, focusing on efficiency and performance in real-world applications.
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1 Lesons
1 hour 34 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

Model Based Deep Learning - Applications to Imaging and Communications

0 rewiews
Explore model-based deep learning applications in imaging and communications with expert Yonina Eldar from the Weizman Institute of Science in this ICASSP 2023 keynote presentation.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Black Hat

Garbage In, Garbage Out - How Purportedly Great Machine Learning Models Can Be Screwed Up by Bad Data

0 rewiews
Explores how data quality impacts machine learning models for malicious URL detection, comparing results across different datasets and analyzing feature activations in neural networks.
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1 Lesons
28 minutes
On-Demand
Free-Video
USENIX

Accelerating Distributed MoE Training and Inference with Lina

0 rewiews
Explore Lina, an innovative system for accelerating distributed Mixture of Experts training and inference, addressing all-to-all communication bottlenecks in large-scale AI models.
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1 Lesons
20 minutes
On-Demand
Free-Video
EuroPython Conference

How to Apply Deep Learning for 3D Object Recognition

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Practical guide to achieving 80% accuracy in 3D object recognition using deep learning, covering data preparation, model optimization, and implementation strategies.
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9 Lesons
23 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

MLOps - Automated Machine Learning Made Easy

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Explore AI and ML optimization techniques to enhance business outcomes through data understanding and model improvement.
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1 Lesons
45 minutes
On-Demand
Free-Video
Scala Days Conferences

Doubt Truth to Be a Liar - Non Triviality of Type Safety for Machine Learning

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Explore type-safe feature engineering in Scala for machine learning, covering Shapeless, macros, and quasiquotes to enhance ML framework design and model accuracy.
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19 Lesons
52 minutes
On-Demand
Free-Video
NDC Conferences

Deep Learning with PyTorch

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Comprehensive introduction to deep learning using PyTorch, covering fundamentals, computer vision applications, and practical model creation for AI enthusiasts and developers.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
MLOps.community

Streamlining Model Deployment - AI in Production

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Explore strategies for optimizing AI model deployment pipelines, including open governance, runtime benchmarks, and dynamic routing. Learn to make AI deployments faster, cheaper, and more accurate in a rapidly evolving landscape.
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1 Lesons
22 minutes
On-Demand
Free-Video
SK AI SUMMIT 2024

AI Camera 개성 부여를 위한 SKT Edge AI의 차별화된 Customized AI 기술

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Discover SKT의 혁신적인 Edge AI 기술로 AI 카메라의 맞춤형 학습 및 현장 최적화 방식을 통해 제한된 환경에서도 고성능 비전 AI 구현 방법을 탐구합니다.
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1 Lesons
14 minutes
On-Demand
Free-Video
SK AI SUMMIT 2024

Squash - 딥러닝 서비스 추론 속도 개선기

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Discover how Squash technology optimizes deep learning inference speed and reduces hardware costs through innovative model compression techniques for efficient AI service deployment.
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1 Lesons
16 minutes
On-Demand
Free-Video
SK AI SUMMIT 2024

이미지 센서에서의 딥러닝 모델 최적화와 구현 - SK 하이닉스의 On-Sensor AI 여정

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Discover how SK Hynix engineers integrate deep learning models into image sensors, exploring AI semiconductor technology for enhanced mobile device functionality and image quality optimization.
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1 Lesons
22 minutes
On-Demand
Free-Video
Data Science Conference

Delivering Delivery Time Prediction - Machine Learning Lessons and Model Optimization

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Discover practical insights into ML model development, from handling unclear requirements to ensemble classification techniques and determining optimal probability cutoffs for delivery predictions.
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1 Lesons
26 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Machine Learning on the Edge - From Microcontrollers to Embedded Linux Devices

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Explore ML deployment on edge devices, from microcontrollers to embedded Linux systems. Learn about hardware options, model adaptation, and deployment strategies for real-world applications.
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1 Lesons
11 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Efficient Inference of Extremely Large Transformer Models

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Explore techniques for optimizing large transformer models, including compression, efficient attention, and parallelism for faster, smaller, and cost-effective inference.
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1 Lesons
28 minutes
On-Demand
Free-Video