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#Transformer Models

Showing: 93 courses
Stanford University

How I Learned to Stop Worrying and Love the Transformer - Stanford CS25 Lecture

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Explore the Transformer's evolution and future directions with Ashish Vaswani, co-author of "Attention is All You Need". Gain insights into motivations, developments, and promising research areas in AI and NLP.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graphs

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Explore transformer-based reasoning for learning evolutionary event chains on temporal knowledge graphs, enhancing understanding of complex temporal relationships.
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1 Lesons
15 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Evolution of ML Training and Serving Infrastructure at Pinterest Ads

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Explore Pinterest Ads' ML infrastructure evolution, from logistic regression to transformer models, and learn key challenges and lessons in revolutionizing ad capabilities.
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1 Lesons
26 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Finetuning a Large Language Model on a Custom Dataset

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Discover parameter-efficient finetuning techniques and optimizations for large language models using custom datasets, enhancing model performance at scale.
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1 Lesons
59 minutes
On-Demand
Free-Video
Broad Institute

Deep Learning on Electronic Health Records: Unlocking the Power of Clinical Data - Lecture 1

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Unlock the power of EHR data using deep learning NLP. Explore frameworks for extracting clinical information, leveraging pretrained transformer models, and addressing challenges in applying language models to healthcare data.
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2 Lesons
1 hour 47 minutes
On-Demand
Free-Video
TensorFlow

Tensor2Tensor - TensorFlow at O’Reilly AI Conference, San Francisco '18

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Explore state-of-the-art deep learning models and datasets with Tensor2Tensor, accelerating ML applications like translation, parsing, and image captioning.
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32 Lesons
39 minutes
On-Demand
Free-Video
HuggingFace

Simple Training with the Transformers Trainer

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Learn to train and fine-tune Transformer models using the Trainer API, covering tokenization, class balance, and practical implementation techniques.
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6 Lesons
27 minutes
On-Demand
Free-Video
James Briggs

How to Build Custom Q&A Transformer Models in Python

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Learn to fine-tune pre-trained transformer models for question-answering using HuggingFace and PyTorch. Gain practical skills in NLP and unlock the power of transformers for custom Q&A applications.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Yannic Kilcher

Fastformer - Additive Attention Can Be All You Need

0 rewiews
Explore Fastformer, a linear-complexity Transformer variant for efficient long text modeling. Learn about additive attention, global context interactions, and its performance compared to traditional Transformers.
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11 Lesons
36 minutes
On-Demand
Free-Video
Yannic Kilcher

Author Interview - Transformer Memory as a Differentiable Search Index

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Explore a novel approach to information retrieval using a single Transformer model that encodes corpus information in its parameters, enabling direct query-to-document mapping without external indices.
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16 Lesons
43 minutes
On-Demand
Free-Video
Open Data Science

Deep Learning and Transfer Learning for NLP

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Explore deep learning and transfer learning for NLP with expert Dipanjan Sarkar. Gain insights on challenges, deployment, popular models, tools, and recent advances in multilingual AI and model interpretability.
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15 Lesons
49 minutes
On-Demand
Free-Video
Open Data Science

Riding the Tailwind of NLP Explosion

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Explore NLP's evolution, from prehistoric to modern era, and learn practical applications, challenges, and strategies for leveraging transformers and open-source tools in data science projects.
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19 Lesons
40 minutes
On-Demand
Free-Video
Serrano.Academy

The Math Behind Attention Mechanisms

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Demystify attention mechanisms in Transformer models through visuals, examples, and mathematical explanations, focusing on embeddings, similarity, and key-query-value matrices.
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7 Lesons
38 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Mathematics as a Translation Task - The Importance of Training Distributions

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Explore how mathematical problems can be framed as translation tasks, focusing on the impact of training distributions on model performance and transformer model mechanics.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
MICDE University of Michigan

Learning the Language of Chemistry

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Explore chemical language through AI, focusing on molecular transformations and retrosynthesis. Gain insights into cutting-edge applications in organic synthesis.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Data Science Conference

Revealing the Unseen: Visualizing Attention in Transformer Models

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Dive into the visualization techniques of attention mechanisms in Transformer models, understanding their inner workings and practical applications through expert insights.
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1 Lesons
24 minutes
On-Demand
Free-Video
Discover AI

Robotics Policy Optimization for Multi-Agent Drone Swarms Using Game Theory

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Explore advanced reinforcement learning applications in optimizing taxi fleets and drone swarms, focusing on multi-agent systems and environmental interaction strategies.
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1 Lesons
15 minutes
On-Demand
Free-Video
Discover AI

Parameter-Efficient Fine-Tuning with LoRA - Optimizing LLMs for Local GPU Training

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Master PEFT LoRA techniques to efficiently fine-tune large language models on local GPUs through low-rank adaptation, reducing memory requirements while maintaining model performance.
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17 Lesons
41 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Drinking From The Firehose of Science: Developments in Semantic Scholar and Scientific Literature Access

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Explore recent developments in Semantic Scholar and learn how to leverage its APIs for scientific literature analysis. Discuss strategies to increase diversity in scientific participation.
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1 Lesons
45 minutes
On-Demand
Free-Video
USC Information Sciences Institute

From NLP to NLU: Why We Need Varied, Comprehensive, and Stratified Knowledge - Neuro-Symbolic AI

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Explore the importance of knowledge in AI systems for improved language understanding, addressing challenges in generative AI, and enhancing neuro-symbolic approaches for safer, more explainable AI.
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9 Lesons
55 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Deep Learning for ESG: Advances and Limitations

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Explore recent NLP advances in ESG analysis, including transformer models and transfer learning. Understand the advantages and limitations of current technology in ESG domain.
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1 Lesons
24 minutes
On-Demand
Free-Video
AutoML Seminars

No Train No Gain - Revisiting Efficient Training Algorithms for Transformer-based Language Models

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Delve into efficient training algorithms for Transformer models, exploring dynamic architectures, batch selection, and optimizers while examining their effectiveness against baseline methods.
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17 Lesons
46 minutes
On-Demand
Free-Video
Yannic Kilcher

Synthesizer - Rethinking Self-Attention in Transformer Models

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Explores alternative attention mechanisms in Transformer models, proposing the Synthesizer model that learns synthetic attention weights without token-token interactions, showing competitive performance across various NLP tasks.
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14 Lesons
48 minutes
On-Demand
Free-Video
Aladdin Persson

Pytorch Transformers from Scratch - Attention Is All You Need

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Implement Pytorch Transformers from scratch, exploring the "Attention is all you need" paper. Learn attention mechanisms, encoder-decoder architecture, and practical application.
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11 Lesons
57 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Emerging Properties in Self-Supervised Vision Transformers - Paper Explained

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Explore DINO: self-supervised vision transformers with emerging properties like segmentation mask prediction and high-quality features for k-NN classification. In-depth analysis of methodology, results, and visualizations.
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9 Lesons
32 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Attention Is All You Need - Transformer Paper Explained

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Detailed walkthrough of the original transformer architecture, covering tokenization, embeddings, attention mechanisms, and decoding, with a focus on machine translation applications.
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10 Lesons
39 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Developing a Deep Learning Project - Case Study on Transformer

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Explore the development process of a transformer model, from project planning to implementation challenges, with insights on time management, data handling, and optimization techniques.
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14 Lesons
32 minutes
On-Demand
Free-Video
Andrej Karpathy

The Spelled-Out Intro to Language Modeling - Building Makemore

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Comprehensive tutorial on building a bigram character-level language model, covering tensor operations, neural networks, and PyTorch fundamentals for natural language processing tasks.
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24 Lesons
1 hour 58 minutes
On-Demand
Free-Video
Yannic Kilcher

DeBERTa - Decoding-Enhanced BERT with Disentangled Attention

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Explore DeBERTa, an advanced BERT model with disentangled attention and enhanced mask decoder, surpassing RoBERTa in NLP tasks. Learn about its architecture, improvements, and performance gains.
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10 Lesons
45 minutes
On-Demand
Free-Video
Yannic Kilcher

Nyströmformer- A Nyström-Based Algorithm for Approximating Self-Attention

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Explore Nyströmformer, a novel algorithm for approximating self-attention in Transformers with linear complexity, enabling processing of longer sequences and improving scalability in natural language tasks.
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12 Lesons
48 minutes
On-Demand
Free-Video
Yannic Kilcher

Feedback Transformers - Addressing Some Limitations of Transformers with Feedback Memory

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Explores Feedback Transformers, an architecture that improves on standard Transformers by allowing higher-level representations to inform lower-level processing, enhancing performance on complex reasoning and long-range dependency tasks.
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12 Lesons
44 minutes
On-Demand
Free-Video
Yannic Kilcher

Transformer Memory as a Differentiable Search Index - Machine Learning Research Paper Explained

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Explore a novel approach to information retrieval using a single Transformer model that encodes corpus information in its parameters, enabling direct query-to-document mapping without external indices.
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11 Lesons
52 minutes
On-Demand
Free-Video
Yannic Kilcher

Train Short, Test Long - Attention With Linear Biases Enables Input Length Extrapolation

0 rewiews
ALiBi: A novel attention mechanism enabling transformers to process longer sequences than trained on. Uses linear biases instead of position encodings, improving efficiency and extrapolation capabilities.
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7 Lesons
31 minutes
On-Demand
Free-Video
Yannic Kilcher

XCiT- Cross-Covariance Image Transformers - Facebook AI Machine Learning Research Paper Explained

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Explore XCiT, a novel Transformer architecture for computer vision using cross-covariance attention. Learn about its linear complexity, scalability, and performance across various vision tasks.
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6 Lesons
36 minutes
On-Demand
Free-Video
James Briggs

Long Form Question Answering in Haystack

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Explore long-form question answering using Haystack, covering setup, data indexing, and generating responses. Learn to implement QA systems for efficient information retrieval in organizations.
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14 Lesons
36 minutes
On-Demand
Free-Video
James Briggs

Spotify's Podcast Search Explained

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Explore Spotify's innovative podcast search system using natural language processing and learn to implement a similar solution with transformer models and vector search techniques.
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15 Lesons
50 minutes
On-Demand
Free-Video
James Briggs

Building Transformer Tokenizers - Dhivehi NLP #1

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Learn to build an effective WordPiece tokenizer for Dhivehi, a low-resource language, overcoming unique challenges in NLP application. Explore tokenizer components, implementation, and usage for this fascinating language.
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18 Lesons
33 minutes
On-Demand
Free-Video
HuggingFace

A Gentle Visual Intro to Transformer Models

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Explore key concepts of Transformer models, including encoder, decoder, and attention, through a visual and accessible explanation by ML expert Jay Alammar.
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10 Lesons
29 minutes
On-Demand
Free-Video
Launchpad

UniFormer

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Explore video understanding with UniFormer, a novel approach addressing inefficiencies in video transformers for improved performance and pose estimation.
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10 Lesons
34 minutes
On-Demand
Free-Video
Launchpad

Not Another Transformer, NNFormer Explained!

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Explore nnFormer, a novel AI model architecture, its envelope, mass data handling, and experimental results in this comprehensive overview.
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10 Lesons
27 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2017 - Attention

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Comprehensive exploration of attention mechanisms in neural networks for NLP, covering various types, improvements, and applications, with a focus on the Transformer model.
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22 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP: Document-Level Modeling

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Explore advanced NLP techniques for long documents, including feature extraction, coreference resolution, and discourse parsing. Gain insights into state-of-the-art models and their applications.
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23 Lesons
1 hour 1 minute
On-Demand
Free-Video
Nicholas Renotte

Building an AI Rap God - Cloning a Rapper Using Machine Learning

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Learn to create an AI-powered rap generator using Python, combining text generation, voice cloning, and lip-syncing technologies to produce custom rap performances.
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1 Lesons
28 minutes
On-Demand
Free-Video
James Briggs

Build a Transformer for Language Classification in TensorFlow

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Build a transformer-based sentiment classifier using HuggingFace's library in TensorFlow. Learn to download data, tokenize inputs, prepare datasets, define the model architecture, and train for multi-class sentiment analysis.
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1 Lesons
38 minutes
On-Demand
Free-Video
Yannic Kilcher

Longformer - The Long-Document Transformer

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Explore Longformer's innovative attention mechanism for processing lengthy documents, combining local windowed and global attention to overcome Transformer limitations in handling long sequences.
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7 Lesons
27 minutes
On-Demand
Free-Video
Yannic Kilcher

Reformer - The Efficient Transformer

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Discover how Reformer revolutionizes Transformer models, reducing memory usage and enabling processing of longer sequences through innovative techniques like Locality Sensitive Hashing and Reversible Networks.
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1 Lesons
29 minutes
On-Demand
Free-Video
Yannic Kilcher

Sparse Expert Models - Switch Transformers, GLAM, and More With the Authors

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Explore sparse expert models in AI, discussing their architecture, routing, history, applications, and future potential. Learn about Switch Transformers, GLAM, and advancements in efficient large-scale language models.
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19 Lesons
58 minutes
On-Demand
Free-Video
Simons Institute

Knowledge Is Embedded in Language Neural Networks but Can They Reason?

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Explore language models' reasoning capabilities, from n-grams to transformers, and discuss future research directions in neural state machines for improved natural language understanding.
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16 Lesons
50 minutes
On-Demand
Free-Video
Yannic Kilcher

Scaling Transformer to 1M Tokens and Beyond with RMT - Paper Explained

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Explore the Recurrent Memory Transformer technique for scaling transformers to process 1 million tokens, examining its strengths, weaknesses, and potential impact on long-term dependency handling in NLP tasks.
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6 Lesons
25 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Explainable Structured Machine Learning in Similarity, Graph and Transformer Models

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Explores techniques for explaining complex machine learning models, focusing on similarity, graph, and transformer structures. Discusses applications in knowledge evolution, gender bias, and task-solving.
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1 Lesons
53 minutes
On-Demand
Free-Video
Open Data Science

ODSC East 2022 Keynote by Luis Vargas, Ph.D. - The Big Wave of AI at Scale

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Explore the trend of larger AI models, their growing capabilities, and impact on language, vision, and multi-modality. Learn about research, engineering efforts, and implications for companies.
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27 Lesons
36 minutes
On-Demand
Free-Video
Abhishek Thakur

Understanding BigBird - Transformers for Longer Sequences

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Explore BigBird's block sparse attention for long sequences, comparing it with BERT and Longformer. Learn implementation, complexity, use cases, and performance optimization tips.
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11 Lesons
27 minutes
On-Demand
Free-Video
Databricks

Delivery of Deep Transformer NLP Models Using MLflow and AWS SageMaker for Enterprise AI

0 rewiews
Learn to deploy deep transformer NLP models using MLflow and AWS SageMaker for enterprise AI, covering the full machine learning lifecycle and CI/CD pipelines for production-quality implementation.
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18 Lesons
23 minutes
On-Demand
Free-Video
tinyML

Extremely Low-Bit Quantization for Transformers - tinyML Asia 2021

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Explore extremely low-bit quantization techniques for Transformers, focusing on mixed precision strategies to optimize deployment on resource-limited devices without compromising accuracy.
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21 Lesons
28 minutes
On-Demand
Free-Video
Databricks

Conversational AI with Transformer Models - Building Blocks and Optimization Techniques

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Explore building conversational AI agents using transformer models, covering advantages over RNN/LSTM, knowledge distillation, and model compression techniques for efficient production deployment.
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21 Lesons
36 minutes
On-Demand
Free-Video
Serrano.Academy

Transformer Models: Understanding Their Architecture and Functionality - Part 3

0 rewiews
Demystifying Transformer models with visuals and examples, covering key concepts like attention mechanism, tokenization, embeddings, and fine-tuning for various NLP tasks.
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13 Lesons
44 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences

0 rewiews
Innovative divide-and-conquer strategy for efficient attention in long sequences, reducing complexity while maintaining global receptive field. Potential to enhance large language models with extended context processing.
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1 Lesons
42 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Training and Optimisation of Large Transformer Models - An ATLAS and CERN Use Case

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Explore CERN's implementation of transformer models for Jet Flavour Tagging, utilizing Kubeflow for machine learning and Katib for hyperparameter optimization in large-scale particle physics data analysis.
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1 Lesons
37 minutes
On-Demand
Free-Video
Andrej Karpathy

Reproducing GPT-2 (124M) from Scratch - Implementation and Optimization

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Comprehensive tutorial on reproducing GPT-2 (124M) from scratch, covering implementation, optimization, training setup, and results analysis. Includes practical coding and performance tuning tips.
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31 Lesons
4 hours 1 minute
On-Demand
Free-Video
The Machine Learning Engineer

Llama2 7B QLora Fine Tuning with Chain-of-Thought Dataset

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Fine-tune Llama2 7B model using QLora with chain-of-thought dataset. Learn step-by-step process, access provided notebooks, and explore CodeLlama implementation for enhanced machine learning capabilities.
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1 Lesons
25 minutes
On-Demand
Free-Video
Yacine Mahdid

In-Context Learning in Deep Learning - How It Works in Large and Small Language Models

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Explore in-context learning in LLMs: definition, significance, Bayesian framework, and implementation. Gain insights into this surprising capability of language models and its implications for AI.
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6 Lesons
12 minutes
On-Demand
Free-Video
Simons Institute

Language Models as World Models? - Understanding Representations and Semantic Control

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Explore how language models encode world knowledge, their limitations in semantic accuracy, and techniques for improving their representations and controllability.
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1 Lesons
46 minutes
On-Demand
Free-Video
PyCon US

How Multilingual Is Your NLP Model?

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Explore multilingual NLP challenges, language identification techniques, and BERT's capabilities for handling diverse linguistic data in the evolving landscape of global communication.
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29 Lesons
45 minutes
On-Demand
Free-Video
GAIA

Do Chemformers Dream of Organic Matter? Evaluating Transformer Models for Synthesis Prediction

0 rewiews
Explore transformer models for synthesis prediction in drug discovery, including challenges, comparisons, and performance in product and retrosynthesis prediction for pharmaceutical applications.
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1 Lesons
27 minutes
On-Demand
Free-Video
Data Science Conference

Boosting Cybersecurity Awareness with Transformer Models for Threat-Informed Defense

0 rewiews
Discover how transformer models and semantic search enhance cybersecurity by linking vulnerabilities to adversarial tactics, enabling better threat detection and proactive defense measures.
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1 Lesons
21 minutes
On-Demand
Free-Video
Data Science Festival

Enhancing Speech Analytics with Whisper: A Speech Recognition Evaluation

0 rewiews
Explore how Whisper speech recognition enhances Athena Speech Analytics, comparing its performance to task-specific models for improved customer experience and workforce efficiency.
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1 Lesons
13 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
MLOps.community

LLMs vs LMs in Production - Key Differences in Using 100M vs 100B Parameter Models

0 rewiews
Explore key differences between using 100M vs 100B parameter models in production, covering MLOps processes, prompt testing, automated training, and real-time inference for conversational AI.
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1 Lesons
25 minutes
On-Demand
Free-Video
Trelis Research

LLMs: Understanding Temperature and Context Length of GPT Models

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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

Embeddings vs Fine-Tuning - Part 3: Unsupervised Fine-Tuning

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Explore unsupervised fine-tuning techniques for embeddings, including dataset cleanup, Google Colab implementation, and expert tips for optimal results.
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6 Lesons
21 minutes
On-Demand
Free-Video
Sam Witteveen

Prompt Poet - Character AI's Framework for Assembling ML Chat Prompts

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Learn Character AI's Prompt Poet framework for efficient prompt assembly and injection. Explore its application in LLM chat formats and discover techniques for enhancing AI interactions.
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8 Lesons
20 minutes
On-Demand
Free-Video
Yannic Kilcher

Linformer - Self-Attention with Linear Complexity

0 rewiews
Detailed explanation of the Linformer model, which reduces self-attention complexity in transformers from O(n²) to O(n), improving efficiency while maintaining performance in NLP tasks.
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13 Lesons
50 minutes
On-Demand
Free-Video
Yannic Kilcher

Transformers Are RNNs- Fast Autoregressive Transformers With Linear Attention

0 rewiews
Explore a novel approach to transformers using linear attention, reducing computational complexity and revealing connections to RNNs. Gain insights into faster, more efficient deep learning models for long sequences.
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11 Lesons
48 minutes
On-Demand
Free-Video
Unify

Large Language Models for Compiler Optimization

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Explore how large language models can enhance compiler optimization, focusing on a custom 7B parameter Transformer model that generates optimal compiler options for minimizing code size.
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1 Lesons
59 minutes
On-Demand
Free-Video
James Briggs

BERTopic Explained

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Explore BERTopic, an advanced topic modeling technique using transformers, UMAP, and HDBSCAN. Learn its components, implementation, and customization for organizing unstructured text data effectively.
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11 Lesons
45 minutes
On-Demand
Free-Video
James Briggs

How to Build a Bert WordPiece Tokenizer in Python and HuggingFace

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Learn to build a custom BERT WordPiece tokenizer in Python using HuggingFace, essential for creating transformer models for specific languages or domains. Includes step-by-step walkthrough and code implementation.
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8 Lesons
31 minutes
On-Demand
Free-Video
HOTI - Hot Interconnects Symposium

Demystifying the Communication Characteristics for Distributed Transformer Models

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Explore communication patterns and optimization strategies for distributed transformer models, focusing on collective operations and performance characteristics in large-scale deployments.
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1 Lesons
34 minutes
On-Demand
Free-Video
Paul G. Allen School

Beyond Rules and Rewards: From Pixels to Adaptive Policies Through Imitation, Reinforcement, and Multimodal Learning

0 rewiews
Explore advanced robotic learning methodologies, from imitation-based training to multimodal systems, focusing on adaptive policies and vision-language models for enhanced real-world robot interactions.
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1 Lesons
59 minutes
On-Demand
Free-Video
Data Science Festival

Accelerating Data Intensive ML Applications with the Graphcore IPU

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Explore how Graphcore's Intelligence Processing Unit accelerates AI development, focusing on BERT optimization and implementation using Spell's Cloud MLOps platform and HuggingFace tools.
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1 Lesons
55 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Do Androids Know They're Only Dreaming of Electric Sheep?

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Explore transformer language models' internal representations to detect and analyze hallucinatory behavior in AI-generated content, with insights on task-dependent patterns and evaluation methods.
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1 Lesons
59 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Optimizing Pinterest Shopping Recommendations for Purchases

0 rewiews
Discover how Pinterest optimizes shopping recommendations across platforms to drive purchases using advanced AI techniques, item embeddings, and conversion models.
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1 Lesons
33 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Train Your First NLP Transformer Model with Amazon SageMaker

0 rewiews
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
Toronto Machine Learning Series (TMLS)

Bringing Structure Into an Unstructured World - Applying State-of-the-Art Machine Learning at Digits

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Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.
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1 Lesons
40 minutes
On-Demand
Free-Video
MLOps.community

Ads Ranking Evolution at Pinterest - From Logistic Regression to Deep Learning

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Explore Pinterest's ads ranking evolution, from logistic regression to deep learning transformers, incorporating sequential signals and multi-task learning. Gain insights on overcoming challenges and advancing ML platforms.
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18 Lesons
53 minutes
On-Demand
Free-Video
Databricks

Building Your First GenAI App Using Databricks, MosaicML and MLRun

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Learn to implement, scale, and manage GenAI applications using Databricks, MosaicAI, and MLRun. Explore MLOps best practices, CI/CD automation, and GPU optimization for enterprise-level AI deployment.
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1 Lesons
35 minutes
On-Demand
Free-Video
Data Science Festival

From Zero to SOTA: Fine-Tuning BERT Using Hugging Face for World-Class Training Performance

0 rewiews
Discover how to fine-tune BERT using Hugging Face and Graphcore's IPU for state-of-the-art NLP performance. Learn to accelerate AI development, optimize models, and leverage cloud platforms for efficient machine learning workflows.
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1 Lesons
1 hour
On-Demand
Free-Video
Unify

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

0 rewiews
Explore OpenMoE, an open-source Mixture-of-Experts language model series. Discover its cost-effectiveness, routing mechanisms, and key insights in comparison to dense LLMs.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Trelis Research

Distillation of Transformer Models - Tutorial and Code Walk-through

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Learn advanced techniques for distilling transformer models, including pruning, fine-tuning, and performance evaluation. Gain practical insights through code walkthroughs and real-world examples.
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33 Lesons
1 hour 21 minutes
On-Demand
Free-Video
John Savill's Technical Training

Generative AI Concepts and Services for AI-900 Certification

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Explore generative AI concepts and services, including LLM training, transformer models, OpenAI, Microsoft Copilots, and Azure OpenAI. Learn about prompt engineering, responsible AI, and practical applications.
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20 Lesons
1 hour
On-Demand
Free-Video
Google TechTalks

Algorithms and Hardness for Attention and Kernel Density Estimation

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Explore algorithmic techniques for Attention and Kernel Density Estimation, examining fast algorithms and hardness results to optimize computational efficiency in machine learning and statistical tasks.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Scalable Parallel Computing Lab, SPCL @ ETH Zurich

A Chiplet-Based Generative Inference Architecture with Block Floating Point Datatypes

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Explore a chiplet-based architecture for generative inference, featuring block floating point datatypes and optimizations for large language models in AI accelerated computing.
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4 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Valence Labs

scPRINT - Pre-training on 50 Million Cells for Robust Gene Network Predictions

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Discover how scPRINT, a large cell model pre-trained on 50M+ cells, revolutionizes gene network inference while offering powerful capabilities in denoising, batch correction, and cell prediction.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
All Things Open

Is AI Sexist? Examining Gender Bias in Large Language Models

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Explore how gender bias manifests in AI systems, particularly in Large Language Models, and learn practical steps to identify, understand, and address these biases in technology development.
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1 Lesons
20 minutes
On-Demand
Free-Video