Transformers Courses and Certifications

Stanford Seminar - Transformers United: Neuroscience-Inspired Artificial Intelligence

Explore neuroscience-inspired AI with insights on attention mechanisms and sparse distributed memory, bridging the gap between transformers and brain function in this Stanford seminar.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Online Course

Stanford Seminar 2022 - Transformers in Vision: Tackling Problems in Computer Vision

Explore how transformers revolutionize computer vision with Lucas Beyer, covering innovative applications and advancements in representation learning for visual AI tasks.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Online Course

Stanford Seminar 2022 - Self Attention and Non-Parametric Transformers

Explore self-attention and Non-Parametric Transformers with PhD students discussing Transformer origins, intuitions, and recent advancements in neural network architecture.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course

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

Explore precision language models for efficient training and hardware-based control systems. Learn about non-random parameter initializations and applications in resource-limited environments.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Online Course

Overview of Transformers - Stanford CS25: Lecture 1

Comprehensive introduction to NLP, Transformers, and AI agents, covering history, functionality, recent breakthroughs, applications, and challenges in the field of artificial intelligence.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Online Course

Open Source LLMOps Solutions

Gain hands-on experience deploying open-source LLMs, from understanding fundamentals to fine-tuning models and building AI applications using a code-first approach.

• Coursera
• 1 day 11 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

LLMs Mastery: Complete Guide to Transformers & Generative AI

4357 ratings at Udemy

Generative AI, LLMs, ChatGPT, GPT4, Llama3, Decoders, T5, BERT, LoRA, FSDP, 4bit, Machine Learning, Data Science

• Udemy
• 7 hours 23 minutes
• On-Demand
• Paid Course

Explore transformers, the core of GPT models, and apply them to text generation and sentiment analysis using Hugging Face libraries. Learn about their history and environmental impact.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Yannic Kilcher

Hopfield Networks Is All You Need - Paper Explained

Explores the connection between Hopfield networks and transformer attention, analyzing BERT through this lens and applying Hopfield attention to immune repertoire classification.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Online Course

Yannic Kilcher

Big Bird- Transformers for Longer Sequences

Explanation of BigBird's sparse attention mechanism for transformers, enabling longer sequence processing. Covers theoretical foundations, architecture details, and experimental results in NLP and genomics applications.

• YouTube
• 35 minutes
• On-Demand
• Free Online Course

Yannic Kilcher

Infinite Memory Transformer - Research Paper Explained

Explores innovative Transformer model with unbounded memory, enabling processing of arbitrarily long sequences. Discusses continuous attention mechanisms, sticky memories, and potential applications in language modeling.

• YouTube
• 37 minutes
• On-Demand
• Free Online Course

tinyML

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

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.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Alfredo Canziani

Differentiable Associative Memories, Attention, and Transformers

Explore differentiable associative memories, attention mechanisms, and transformers. Learn about energy minimization, planning, and various transformer applications in machine learning and AI.

• YouTube
• 2 hours
• On-Demand
• Free Online Course

Alfredo Canziani

Deep Learning for Natural Language Processing

Explore NLP architectures, transformers, language models, and advanced techniques for text generation and embedding learning in this comprehensive deep learning lecture.

• YouTube
• 1 hour 41 minutes
• On-Demand
• Free Online Course

saVRee

Transformer Parts and Functions

Comprehensive overview of transformer components and functions, including core, windings, bushings, tank, relays, and cooling systems. Explains key parts and their roles in power engineering.

• YouTube
• 28 minutes
• On-Demand
• Free Online Course