Jay Alammar
Learn how ChatGPT and DeepSeek models work: How Transformer LLMs Work [Free Course]
3:37
Jay Alammar
AlphaXiv - a great place to discuss ML papers
4:03
Jay Alammar
SWE-Bench authors reflect on the state of LLM agents at Neurips 2024
4:23
Jay Alammar
Building LLM Agents with Tool Use
7:39
Jay Alammar
What makes LLM tokenizers different from each other? GPT4 vs. FlanT5 Vs. Starcoder Vs. BERT and more
14:13
Jay Alammar
ChatGPT has Never Seen a SINGLE Word (Despite Reading Most of The Internet). Meet LLM Tokenizers.
15:12
Jay Alammar
prompt chains are important for building large language model applications
0:52
Jay Alammar
What is Llama Index? how does it help in building LLM applications? #languagemodels #chatgpt
0:39
Jay Alammar
How to manage LLM prompts with tools like LangChain #languagemodels #chatgpt
0:53
Jay Alammar
Are language models with more parameters better? #shorts #chatgpt
0:58
Jay Alammar
What is LangChain? Where does it fit with LLMs like ChatGPT and Cohere? #shorts
0:58
Jay Alammar
AI is Eating The World - This is Where YOU Can Use it to Compete (AI Product Moats)
18:35
Jay Alammar
What is Generative AI? 4 Important Things to Know (about ChatGPT, MidJourney, Cohere & future AIs)
10:43
Jay Alammar
AI Art Explained: How AI Generates Images (Stable Diffusion, Midjourney, and DALLE)
28:47
Jay Alammar
Nemesis 2 Intro Remade with AI Generated Images
3:24
Jay Alammar
The Illustrated Word2vec - A Gentle Intro to Word Embeddings in Machine Learning
8:44
Jay Alammar
A Generalist Agent (Gato) - DeepMind's single model learns 600 tasks
15:47
Jay Alammar
AI Image Generation is MIND BLOWING! #shorts
1:00
Jay Alammar
The Illustrated Retrieval Transformer
7:14
Jay Alammar
pandas for data science in python #shorts
0:59
Jay Alammar
Experience Grounds Language: Improving language models beyond the world of text
21:34
Jay Alammar
Writing Code in Jupyter Notebooks #shorts
0:58
Jay Alammar
How digital assistants like Siri work #shorts
0:56
Jay Alammar
AI is NOT smart robots #shorts
0:32
Jay Alammar
Understanding Animal Languages - Seeing Voices 2
9:59
Jay Alammar
Favorite Stats Books: Seven Pillars of Statistical Wisdom
7:16
Jay Alammar
Seeing Voices: 1 - Intro to Spectrograms
8:34
Jay Alammar
Favorite Python Books: Effective Python
7:00
Jay Alammar
Favorite AI/ML Books: Intro to ML with Python (Book Review)
10:49
Jay Alammar
Behavioral Testing of ML Models (Unit tests for machine learning)
12:22
Jay Alammar
Language Processing with BERT: The 3 Minute Intro (Deep learning for NLP)
6:10
Jay Alammar
Inspecting Neural Networks with CCA - A Gentle Intro (Explainable AI for Deep Learning)
19:28
Jay Alammar
Probing Classifiers: A Gentle Intro (Explainable AI for Deep Learning)
11:26
Jay Alammar
Up and Down the Ladder of Abstraction [interactive article by Bret Victor, 2011]
21:00
Jay Alammar
Neural Activations & Dataset Examples
13:13
Jay Alammar
The Unreasonable Effectiveness of RNNs (Article and Visualization Commentary) [2015 article]
29:20
Jay Alammar
Explainable AI Cheat Sheet - Five Key Categories
14:09
Jay Alammar
My Visualization Tools (my Apple Keynote setup for visualizations and animations)
14:00
Jay Alammar
The Narrated Transformer Language Model
29:30
Jay Alammar
How GPT3 Works - Easily Explained with Animations
13:42
Jay Alammar
Making Money from AI by Predicting Sales - Jay's Intro to AI Part 2
21:15
Jay Alammar
Jay's Visual Intro to AI
9:30