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#Inference

Showing: 117 courses
University of Oxford

Research Seminar - Identifiability and Inference in Cell Biology

2 rewiews
Explores mathematical modeling in cell biology, focusing on identifiability and inference. Discusses challenges in developing realistic models for interpreting quantitative data and showcases applications in biological mechanisms.
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26 Lesons
51 minutes
On-Demand
Free-Video
Stanford University

Stanford Seminar - Universal Intelligent Systems by 2030 - Carl Hewitt and John Perry

0 rewiews
Explore the future of Universal Intelligent Systems, encompassing all manufactured devices and sensed activities. Learn about information integration, security, and the challenges of developing these systems by 2030.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
California Institute of Technology

Big Data Analytics

0 rewiews
Comprehensive exploration of big data analytics, covering programming, databases, statistics, machine learning, visualization, and cloud computing for practical applications.
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70 Lesons
19 hours
On-Demand
Free-Video
Santa Fe Institute

Information and Model Misspecification - Classical Statistics vs. Info-Metrics

0 rewiews
Explore info-metrics framework for handling model misspecification, contrasting classical methods with innovative approaches using entropy and empirical likelihood in power law distributions.
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14 Lesons
1 hour
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Leaner, Greener and Faster PyTorch Inference with Quantization

0 rewiews
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
Broad Institute

Models, Inference and Algorithms - Lightning Talks

0 rewiews
Explore cutting-edge research in models, inference, and algorithms through lightning talks by five postdoctoral researchers at the Broad Institute of MIT and Harvard.
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6 Lesons
1 hour 26 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Lessons Learned from Scaling Large Language Models in Production

0 rewiews
Discover strategies for scaling LLMs in production, covering performance profiling, GPU optimization, and guardrail interactions with real-world examples.
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1 Lesons
40 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Automatic ML Model Containerization: Best Practices and Tools

0 rewiews
Explore best practices for containerizing ML models for production inference. Learn about secure, multi-tenant image builds, avoiding lock-in, and tools like chassis.ml and Open Model Interface for seamless integration.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Anyscale

The State of vLLM - Advancements in LLM Inference and Serving

0 rewiews
Explore the latest advancements in vLLM, the open-source LLM inference engine. Gain insights into its growing adoption, new features, performance improvements, and future roadmap for efficient LLM deployment.
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1 Lesons
35 minutes
On-Demand
Free-Video
Microsoft

NVIDIA DeepStream Development with Microsoft Azure - AI Show Episode 51

0 rewiews
Explore NVIDIA DeepStream development with Azure for creating intelligent video applications using optimized AI models. Learn about SDK features and see demos of Graph Composer and DeepStream development.
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11 Lesons
2 hours 4 minutes
On-Demand
Free-Video
Open Data Science

Cloud Directions, MLOps and Production Data Science

0 rewiews
Explore cloud directions, MLOps, and production data science with Prof. Hellerstein. Learn key challenges, lifecycle management, and innovative solutions for scaling data-intensive applications in the cloud.
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14 Lesons
43 minutes
On-Demand
Free-Video
TensorFlow

Inside TensorFlow - TensorFlow Lite

0 rewiews
Explore TensorFlow Lite for deploying ML models on mobile and IoT devices. Learn about its architecture, conversion process, and optimization techniques for efficient on-device inference.
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24 Lesons
38 minutes
On-Demand
Free-Video
TensorFlow

Inside TensorFlow - tf.Keras

0 rewiews
Dive deeper into tf.Keras with creator Francois Chollet, exploring advanced topics like masking, dynamic layers, callbacks, and building successful models for enhanced deep learning capabilities.
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12 Lesons
52 minutes
On-Demand
Free-Video
Anyscale

How Roblox Scaled Machine Learning by Leveraging Ray for Efficient Batch Inference

0 rewiews
Discover how Roblox leverages Ray to scale machine learning infrastructure, focusing on multimodal language models integration, batch inference optimization, and practical implementation strategies.
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1 Lesons
29 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps MLFlow: Serving LLMs with MLflow - Phi-3-mini-4k-instruct Local Deployment in Spanish

0 rewiews
Aprende a crear y servir modelos LLM con MLflow, utilizando Phi-3-mini-4k-instruct en local. Explora la serialización, el seguimiento y la inferencia en español.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

AirLLM: Inferencia de LLM de 70 Billones de Parámetros en GPU de 4GB - Español

0 rewiews
Aprende a realizar inferencia con un LLM de 70 billones de parámetros en una GPU doméstica de 4GB usando AirLLM. Explora técnicas avanzadas de machine learning y optimización de recursos.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps with MLflow: Fine-Tuning LLMs, Tracking Experiments, and Logging Models

0 rewiews
Aprende a utilizar MLflow para registrar y gestionar el proceso de ajuste fino de modelos de lenguaje, facilitando el seguimiento de experimentos y la inferencia.
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1 Lesons
53 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Visual Studio Code AI Toolkit Introduction - Data Science and Machine Learning

0 rewiews
Explora el Visual Studio Code AI Toolkit con ejemplos prácticos en Python y C# para inferencia en CPU usando el modelo Phi 3 4K Instruct cuantizado.
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1 Lesons
20 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Saving and Loading Microsoft Phi3 Mini 128k in GGUF Format with MLflow

0 rewiews
Aprende a guardar y cargar el modelo Phi3 128k en formato GGUF int8 usando MLflow para inferencia en diferentes entornos.
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1 Lesons
17 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Converting Video Classifier (ViViT) to ONNX for CPU Inference

0 rewiews
Convierte un Video Vision Transformer a formato ONNX y realiza inferencia en CPU, optimizando el rendimiento del modelo de clasificación de videos.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Comparación de Openvino, ONNX, TensorRT y Pytorch para Inferencia

0 rewiews
Compara el rendimiento de inferencia de modelos convertidos a ONNX, OpenVino y TensorRT frente a PyTorch nativo en GPU y CPU.
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1 Lesons
39 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Inferencia de Modelo VIT ONNX en Azure ML Managed Endpoint - Español

0 rewiews
Aprende a realizar inferencia en Azure Kubernetes Services utilizando un modelo Vision Transformer convertido a ONNX con Azure Machine Learning Studio y Python SDK v2.
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1 Lesons
57 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Inferencia de Modelo ONNX en Azure ML Managed Endpoint AKS

0 rewiews
Aprende a realizar inferencia en Azure Kubernetes Services utilizando un modelo ONNX y onnxruntime, creando un Managed Endpoint con Python SDK v2.
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1 Lesons
51 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science

0 rewiews
Convierte modelos Bert a ONNX y realiza inferencia con BERTTokenizer en C#. Aprende a implementar aplicaciones prácticas de machine learning.
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1 Lesons
31 minutes
On-Demand
Free-Video
Fields Institute

Inference of Utilities and Time Preference in Sequential Decision-Making

0 rewiews
Explore utility inference and time preference in sequential decision-making, focusing on mathematical finance applications and advanced analytical techniques.
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1 Lesons
29 minutes
On-Demand
Free-Video
The ASF

Inference at Scale with Apache Beam

0 rewiews
Learn to deploy and scale machine learning models efficiently using Apache Beam for distributed inference on CPUs and GPUs, with practical insights on parallelizing workloads.
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1 Lesons
34 minutes
On-Demand
Free-Video
All Things Open

Machine Learning with Apache Beam

0 rewiews
Explore Apache Beam for distributed data pipelines in machine learning, covering inference, data processing, and training with hands-on demos for parallelizing ML workloads.
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1 Lesons
36 minutes
On-Demand
Free-Video
Neurosymbolic Programming for Science

Model-Based Reasoning in Neurosymbolic Programming for Science

0 rewiews
Explore model-based reasoning techniques and their applications in neurosymbolic programming for scientific problem-solving.
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1 Lesons
43 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Machine Learning Deployment and Product Integration - Best Practices and Lessons Learned

0 rewiews
Explore best practices for deploying ML models and integrating them into core business functions. Learn from real-world experiences in on-demand inference deployment.
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1 Lesons
34 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Mean-Field Games Stochastic Differential Mean-Field Games by Kavita Ramanan

0 rewiews
Explore stochastic differential mean-field games in this advanced lecture, delving into mathematical models for large-scale strategic interactions and their applications in various complex systems.
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1 Lesons
56 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Modified Logarithmic Sobolev Inequalities - Theory

0 rewiews
Explore modified logarithmic Sobolev inequalities in this theoretical lecture by Prasad Tetali, part of a program on advances in applied probability covering high-dimensional computation and limit theorems.
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1 Lesons
1 hour
On-Demand
Free-Video
Trelis Research

Test Time Compute: Sampling and Chain of Thought Techniques

0 rewiews
Explore advanced inference techniques like sampling and chain of thought to enhance AI model performance. Learn to optimize test-time compute for improved accuracy and efficiency.
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27 Lesons
55 minutes
On-Demand
Free-Video
Rust

Rustc-Chalk Integration Overview: Plans and Implementation

0 rewiews
Overview of rustc-chalk integration plans and implementation, covering answer tables, search strategies, inference contexts, and key components like the trait engine and canonicalization.
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42 Lesons
1 hour 3 minutes
On-Demand
Free-Video
ACM SIGPLAN

Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures

0 rewiews
Explore a novel approach to probabilistic program inference using Gaussian mixtures, offering improved accuracy and efficiency for complex models and distributions.
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1 Lesons
20 minutes
On-Demand
Free-Video
Aladdin Persson

Variational Autoencoder From Scratch in PyTorch

0 rewiews
Learn to implement a Variational Autoencoder from scratch using PyTorch, covering architecture, training loop, and inference with practical examples and code demonstrations.
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5 Lesons
40 minutes
On-Demand
Free-Video
Software Engineering Courses - SE Courses

How to Do Stable Diffusion LORA Training by Using Web UI on Different Models

0 rewiews
Comprehensive guide to LoRA training in Stable Diffusion, covering installation, image preparation, parameter tuning, and image generation using SD 1.5 and 2.1 models.
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52 Lesons
59 minutes
On-Demand
Free-Video
Yannic Kilcher

Sparse Is Enough in Scaling Transformers - ML Research Paper Explained

0 rewiews
Detailed explanation of Scaling Transformers and Terraformer architecture, focusing on leveraging sparsity to improve efficiency and speed in large language models while maintaining accuracy.
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6 Lesons
57 minutes
On-Demand
Free-Video
Prodramp

A Visual Introduction to Modern and Scalable Machine Learning Pipeline

0 rewiews
Visual guide to modern, scalable machine learning pipelines: from data prep to deployment. Covers key stages like training, validation, inference, feature stores, and model registry. Ideal for understanding ML infrastructure evolution.
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12 Lesons
20 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Neural Simulation-based Inference - Lecture 5

0 rewiews
Explore neural simulation-based inference techniques for high energy physics data analysis, focusing on advanced machine learning applications in particle physics research.
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1 Lesons
1 hour 40 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Neural Simulation-based Inference - Lecture 2

0 rewiews
Explore advanced neural simulation-based inference techniques for high energy physics, focusing on applications in data analysis and new physics discovery at particle colliders.
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1 Lesons
1 hour 32 minutes
On-Demand
Free-Video
Abhishek Thakur

Intro and Building a Machine Learning Framework

0 rewiews
Learn to build a reusable machine learning framework for tabular datasets, covering setup, training, and inference in a two-part video series.
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14 Lesons
47 minutes
On-Demand
Free-Video
Alfredo Canziani

Differentiable Associative Memories, Attention, and Transformers

0 rewiews
Explore differentiable associative memories, attention mechanisms, and transformers. Learn about energy minimization, planning, and various transformer applications in machine learning and AI.
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15 Lesons
2 hours
On-Demand
Free-Video
Alfredo Canziani

Prediction and Planning Under Uncertainty

0 rewiews
Explore prediction and planning in uncertain environments, covering model predictive control, stochastic scenarios, and practical applications in AI decision-making.
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11 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Alfredo Canziani

Joint Embedding Method and Latent Variable Energy Based Models

0 rewiews
Explore joint embedding methods and latent variable energy-based models with Yann LeCun. Learn about predictive systems, inference, probabilistic models, and various training techniques for advanced machine learning applications.
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30 Lesons
1 hour 52 minutes
On-Demand
Free-Video
Alfredo Canziani

Latent Variable Energy Based Models - Inference

0 rewiews
Explore Latent Variable Energy Based Models and inference techniques, focusing on energy functions, manifold generation, and free energy computation in unconditional cases.
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14 Lesons
1 hour 1 minute
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Semantic Scholar- Tera-Scale NLP to Accelerate Scientific Research--Daniel Weld

0 rewiews
Explore Semantic Scholar's AI-powered tools for accelerating scientific research, including adaptive feeds, personalized alerts, and advanced summarization techniques.
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38 Lesons
44 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

How to Implement a CNN for Music Genre Classification

0 rewiews
Implement a CNN for music genre classification using TensorFlow. Learn cross-validation, inference, and practical application with code examples and step-by-step guidance.
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9 Lesons
49 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

How to Deploy ML Models in Production with BentoML

0 rewiews
Learn to deploy Machine Learning models in production using BentoML, covering installation, model saving, service creation, bento building, and Docker containerization. Includes hands-on examples and practical deployment steps.
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13 Lesons
34 minutes
On-Demand
Free-Video
Fields Institute

Probabilistic Numerics for Inference with Simulations

0 rewiews
Explore probabilistic numerics for inference with simulations, covering high-dimensional models, numerical methods, and innovative approaches to machine learning challenges.
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15 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Prodramp

Technical Overview of Machine Learning Life Cycle

0 rewiews
Comprehensive technical overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference. Ideal for AI engineers seeking in-depth understanding of ML processes.
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13 Lesons
38 minutes
On-Demand
Free-Video
Prodramp

An Improved and Functional Design of End-to-End Machine Learning Life Cycle

0 rewiews
Comprehensive overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference, with practical insights for effective implementation and monitoring.
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11 Lesons
27 minutes
On-Demand
Free-Video
Abhishek Thakur

What Are CycleGANs? - A Novel Deep Learning Tool in Pathology

0 rewiews
Explore CycleGANs for unpaired image conversion, including applications in pathology and microscopy. Learn model architecture, training, and inference through code demos and real-world examples.
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37 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Abhishek Thakur

Captcha Recognition Using PyTorch - Convolutional-RNN + CTC Loss

0 rewiews
Learn to implement a Convolutional-RNN model for captcha recognition using PyTorch. Covers data preparation, model architecture, CTC loss, and training/inference processes.
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9 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Hardware.ai

Speech-to-Intent on MCU: TinyML for Efficient Device Control - Lecture 6

0 rewiews
Learn efficient speech-to-intent techniques for MCUs, focusing on direct parsing of user utterances into actionable output. Explore model training, deployment, and testing on Wio Terminal.
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9 Lesons
30 minutes
On-Demand
Free-Video
Hardware.ai

Machine Learning Inference on Raspberry Pi Pico 2040 via Edge Impulse

0 rewiews
Learn to implement machine learning inference on Raspberry Pico 2040 using Edge Impulse, covering environment setup, sample data inference, sensor data processing, and porting details.
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7 Lesons
22 minutes
On-Demand
Free-Video
MITCBMM

Probabilistic Programming

0 rewiews
Explore probabilistic programming concepts, from intuitive physics to computational theory of mind, with hands-on practice in web-based probabilistic programming languages.
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27 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Nerdy Rodent

Stable Diffusion Dreambooth Tutorial - Just Like Corridor Crew

0 rewiews
Learn to use Dreambooth SD Optimised for adding custom elements to Stable Diffusion. This tutorial covers setup, training, and inference, with tips for different hardware configurations.
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8 Lesons
29 minutes
On-Demand
Free-Video
Alan Turing Institute

From Denoising Diffusion Models to Transport for Generative Modeling and Inference

0 rewiews
Explore advanced generative modeling techniques, from denoising diffusion models to transport-based approaches, focusing on diffusion Schrödinger bridge and its numerical approximation for improved inference.
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1 Lesons
44 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Achieving Real-Time Generative AI During Gameplay for Games on Kubernetes

0 rewiews
Explore real-time GenAI integration in Kubernetes-based games. Learn deployment strategies, low-latency solutions, and scalability techniques for enhanced player experiences and broader ecosystem benefits.
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1 Lesons
34 minutes
On-Demand
Free-Video
Andrej Karpathy

Introduction to Large Language Models - Future and Security Challenges

0 rewiews
Comprehensive introduction to Large Language Models, covering their functionality, training, future potential, and security challenges. Explores applications, scaling, tool use, and emerging paradigms in AI.
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21 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Subtractive Mixture Models: Representation and Learning

0 rewiews
Exploring subtractive mixtures in probabilistic circuits: increased expressiveness, efficient learning, and inference for complex distributions. Theoretical and empirical advantages over traditional additive mixtures.
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1 Lesons
52 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Bayesian Networks for Causal Reasoning - Lecture 1

0 rewiews
Introduction to Bayesian networks for causal reasoning in healthcare, exploring their application in analyzing clinical data and inferring patterns to improve patient outcomes and medical decision-making.
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1 Lesons
1 hour 3 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
Linux Foundation

Hardware, Software, Performance and Costs for Llama-2 70b and Mixtral 8x7b LLM Inference with Low Concurrency

0 rewiews
Explore hardware, software, performance, and costs for running Llama-2 70b and Mixtral 8x7b LLM inference. Compare on-premises and cloud options, with insights on speed, cost, and setup for small organizations.
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1 Lesons
52 minutes
On-Demand
Free-Video
Linux Foundation

Hugging Face Accelerate: Making Device-Agnostic ML Training and Inference Easy at Scale

0 rewiews
Learn to simplify ML model training and inference across devices using Hugging Face Accelerate. Explore its low-level interface, hardware compatibility, and scalable deployment features.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Serving LLMs with MLflow - Phi-3-mini-4k-instruct Model

0 rewiews
Aprende a crear, guardar y cargar modelos LLM con MLflow, utilizando Phi-3-mini-4k-instruct para inferencia local en tu computadora.
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1 Lesons
25 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps with MLflow: Fine-Tuning LLMs - Tracking Experiments and Logging Models

0 rewiews
Fine-tune LLMs, track experiments, and log models using MLflow for efficient MLOps practices in data science and machine learning projects.
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1 Lesons
49 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: C# Image Recognition with ResNet50v2 Model

0 rewiews
Implement image recognition using ResNet50v2 in C# with ONNX and SixLabors.ImageSharp for efficient MLOps workflows.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science

0 rewiews
Convert Bert model to ONNX format and create a C# app using BERTTokenizer for inference with ONNX transformer models.
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1 Lesons
30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Comparison of OpenVino, ONNX, TensorRT, and PyTorch Inference

0 rewiews
Explore model conversion to ONNX, OpenVino, and Tensor-RT formats for optimized CPU and GPU inference, comparing performance against native PyTorch.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOPs - Inference in CPU with Phi3 4k Instruct ONNX 4-bit Model Using C#

0 rewiews
Explore CPU-based inference using 4-bit quantized Phi 3 4K Instruct in ONNX format with C#. Learn practical implementation for efficient machine learning deployment.
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1 Lesons
24 minutes
On-Demand
Free-Video
Linux Foundation

Effortless Scalability: Orchestrating Large Language Model Inference with Kubernetes

0 rewiews
Automate deployment of large language models on Kubernetes. Leverage CRDs, streamline with HTTP servers, eliminate manual tuning, auto-provision GPU nodes, and empower users with containerized model deployment.
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1 Lesons
27 minutes
On-Demand
Free-Video

Aiding Static Analysis - Discovering Vulnerabilities in Binary Targets through Knowledge Graph

0 rewiews
Explore advanced techniques for vulnerability detection in binary targets using knowledge graphs, static analysis, and specialized tools like Binary Ninja and Kraken.
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32 Lesons
48 minutes
On-Demand
Free-Video
Strange Loop Conference

Running Programs in Reverse for Deeper A.I.

0 rewiews
Explore inverse simulation for AI advancement, covering mental simulation, animation, and a novel approach using ReverseFlow to compile programs into their inverses, enhancing vision and planning capabilities.
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9 Lesons
42 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Abductive Inferences and Expectations - Lecture 1.2

0 rewiews
Explore abductive inferences and expectations in artificial intelligence, focusing on knowledge representation and reasoning techniques.
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1 Lesons
15 minutes
On-Demand
Free-Video
Open Compute Project

How SSDs Enhance Vector Data Scaling in GenAI RAG Systems

0 rewiews
Explore how SSD technology optimizes RAG architectures and vector databases for large-scale LLM deployments, improving inference accuracy and performance in Generative AI systems.
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1 Lesons
12 minutes
On-Demand
Free-Video
Open Compute Project

Leveraging ODSA's BoW Die-to-Die Link Technology for Generative AI Inference Transformation

0 rewiews
Discover how d-Matrix's Corsair accelerator revolutionizes Generative AI inference through innovative chiplet architecture, digital-in-memory computing, and ODSA BoW die-to-die interconnect technology.
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1 Lesons
21 minutes
On-Demand
Free-Video
Code Sync

Scaling CLIP-Based Natural Language Media Search with Bumblebee and Broadway

0 rewiews
Harness Elixir's power for machine learning with Bumblebee and Broadway. Learn to implement scalable natural language media search using CLIP, showcasing Elixir's capabilities in ML applications.
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1 Lesons
26 minutes
On-Demand
Free-Video
Shaw Talebi

Local LLM Fine-tuning on Mac (M1 16GB) Using QLoRA and MLX

0 rewiews
Fine-tune a local LLM on M1 Mac using MLX and QLoRA. Adapt Mistral 7b to respond like you to YouTube comments, with step-by-step guidance and code examples.
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12 Lesons
24 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Entailment and Proof in Artificial Intelligence - Lecture 2.5

0 rewiews
Explore entailment and proof concepts in artificial intelligence, focusing on knowledge representation and reasoning techniques.
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1 Lesons
17 minutes
On-Demand
Free-Video
MLOps.community

Considerations and Optimizations for Deploying Open Source LLMs at Your Company

0 rewiews
Explore best practices for secure, reliable, and scalable open-source LLM deployments in enterprise settings.
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1 Lesons
12 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Logging and Loading Microsoft Phi3 Mini 128k in GGUF with MLflow

0 rewiews
Learn to log and load quantized LLama.cpp models in MLflow, create Python classes, and perform inference using Microsoft Phi3 mini 128k in GGUF format.
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1 Lesons
18 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Microsoft AI: Visual Studio Code AI Toolkit Introduction for Data Science and Machine Learning

0 rewiews
Explore Visual Studio Code AI Toolkit with hands-on examples in Python and C#, focusing on CPU inference using the Phi 3 4K Instruct model in ONNX format.
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1 Lesons
22 minutes
On-Demand
Free-Video
Trelis Research

LLMs: Understanding Temperature and Context Length of GPT Models

0 rewiews
Explore temperature and context length in GPT models to enhance LLM research. Learn how these parameters impact results and gain insights for more effective AI interactions.
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1 Lesons
25 minutes
On-Demand
Free-Video
Trelis Research

Really Long Context LLMs - 200k Input Tokens

0 rewiews
Explore Yi 34B 200k model capabilities, compare long context models, and learn about passkey retrieval and inferencing on Runpod. Access resources for implementing extended context LLMs.
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12 Lesons
25 minutes
On-Demand
Free-Video
Trelis Research

Deploying Serverless Inference Endpoints - Setup and Cost Comparison

0 rewiews
Deploy serverless inference endpoints efficiently. Learn setup, use cases, and cost comparisons for API-based machine learning model deployment.
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8 Lesons
20 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Learning with Volterra Series - Convolutional Networks without Activation Functions

0 rewiews
Explore Volterra Series in machine learning, reducing sample and model complexity while maintaining high performance in inference problems.
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1 Lesons
29 minutes
On-Demand
Free-Video
Neuro Symbolic

NeuPSL: Training and Inference - Part 2

0 rewiews
Explore NeuPSL's training and inference processes, combining probabilistic soft logic with deep learning for end-to-end training and logical constraint enforcement in neurosymbolic AI.
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1 Lesons
18 minutes
On-Demand
Free-Video
Neuro Symbolic

Deductive Reasoning for Cross-Knowledge Graph Entailment - Part 1

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Explore deductive reasoning for cross-knowledge graph entailment, covering inference types, embedding methods, memory networks, and model architecture for AI and machine learning applications.
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12 Lesons
17 minutes
On-Demand
Free-Video
Neuro Symbolic

Inference in Propositional Logic: From Basics to Lattice Theory Applications

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Explore propositional logic inference, including lattice theory and fixpoint operators for entailment queries. Gain insights into logic programming and knowledge reasoning fundamentals.
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1 Lesons
19 minutes
On-Demand
Free-Video
Nvidia

Developing Local AI Copilots with LangChain, NVIDIA NIM, and FAISS - LLM App Development

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Learn to build a local AI copilot using LangChain, NVIDIA NIM, and FAISS. Covers document processing, vector storage, inference with Llama 3, and LangChain orchestration for responsive LLM applications.
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1 Lesons
19 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Effortless Scalability: Orchestrating Large Language Model Inference with Kubernetes

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Explore automated deployment of large language models on Kubernetes, leveraging CRDs for seamless management and optimizing GPU utilization through preset configurations and auto-provisioning.
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1 Lesons
27 minutes
On-Demand
Free-Video
1littlecoder

Creating Your Own Flux AI Model with LoRA Fine-Tuning

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Learn to create and fine-tune a custom Flux AI model using LoRA, including dataset preparation, cost-effective training on Replicate, and generating AI images with your personalized model.
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4 Lesons
11 minutes
On-Demand
Free-Video
Serrano.Academy

How Does Netflix Recommend Movies? Matrix Factorization

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Explore matrix factorization in recommender systems, focusing on Netflix's movie recommendation algorithm. Learn about dependencies, error functions, and predicting user ratings.
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6 Lesons
33 minutes
On-Demand
Free-Video
Google Cloud Tech

Advanced Productivity for Data Science with Vertex AI

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Explore Vertex AI's features to enhance data science productivity, including Workbench, AI Studio, and Colab Enterprise.
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1 Lesons
40 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Extending PyTorch for Custom Compiler Targets - Accelerator Hardware Integration

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Discover how to annotate PyTorch code with custom metadata for optimizing model inference on specialized hardware accelerators, focusing on LPU deployment and performance enhancement.
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1 Lesons
31 minutes
On-Demand
Free-Video
Data Science Festival

The Power of Knowledge Graphs and AI - A New Era for Developers and Data Scientists

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Explore Knowledge Graphs and AI: Learn technical aspects, real-world applications, and future trends. Discover how to leverage these technologies for data harmonization and inference.
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1 Lesons
41 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Train Your First NLP Transformer Model with Amazon SageMaker

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Learn to train and deploy NLP Transformer models using Amazon SageMaker and Hugging Face. Gain hands-on experience with cutting-edge deep learning techniques for natural language processing.
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1 Lesons
56 minutes
On-Demand
Free-Video
Google Cloud Tech

Accelerate AI Inference Workloads with Google Cloud TPUs and GPUs

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Optimize AI inference using Google Cloud's TPUs and GPUs. Compare accelerators for various workloads, deploy efficiently, and implement cost-effective strategies for high-performance model deployment.
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1 Lesons
37 minutes
On-Demand
Free-Video
Google Cloud Tech

Bringing Machine Learning to Streaming Data - Dataflow ML Innovations

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Deploy and manage ML pipelines for streaming data, including inference, image classification, and custom model handling. Learn from Spotify's experience in large-scale ML podcast preview generation.
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1 Lesons
39 minutes
On-Demand
Free-Video