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Showing 158 resources.
Llama 2: Open Foundation and Fine-Tuned Chat Models
PaLM: Scaling Language Modeling with Pathways
Toolformer: Language Models Can Teach Themselves
ReAct: Synergizing Reasoning and Acting
Chain-of-Thought Prompting Elicits Reasoning
Training language models to follow instructions with human feedback
Retrieval-Augmented Generation for Knowledge-Intensive NLP
Language Models are Few-Shot Learners (GPT-3)
BERT: Pre-training of Deep Bidirectional Transformers
Training Compute-Optimal Large Language Models
Machine Learning Interviews
How to Become a Machine Learning Engineer
RAG Evaluation Basics
Google Gemini Announcement
Announcing Mistral 7B
Introducing Llama 2
Introducing Amazon Bedrock
Introducing Claude
Introducing GPT-4
The NLP Course is becoming the LLM Course
Transformers: The Model Behind the Revolution
Function calling and other API updates
The Illustrated GPT-2
Introducing text and code embeddings
What is Retrieval-Augmented Generation (RAG)?
Google ML Crash Course Overview
Hugging Face Course Intro
Stanford CS224N Lecture Playlist
Stanford CS230 Lecture Playlist
Stanford CS231n Lecture Playlist
Stanford CS230 Lecture 1
MIT 6.S191 Lecture 1 (2025)
Let’s build GPT from scratch
OpenAI DevDay: Opening Keynote
Chroma
Milvus
Weaviate
Qdrant
Whisper
Instructor
Guidance
LiteLLM
CrewAI
AutoGen
DSPy
Ragas
LM Evaluation Harness
OpenAI Evals
Text Generation Inference
llama.cpp
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