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A Strict JSON Framework for LLM Outputs
A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 30.67% tasks (pass@1) in SWE-bench lite with each task costs less than $0.7.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Long Document Summarization with ChatGPT
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
[知识编辑] Must-read Papers on Knowledge Editing for Large Language Models.
Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Model interpretability and understanding for PyTorch
Mechanistic Interpretability Visualizations using React
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
A library for mechanistic interpretability of GPT-style language models
Ideas and thoughts about the fascinating Vision-and-Language Navigation
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
Official inference library for Mistral models
Puzzles for exploring transformers
What would you do with 1000 H100s...
Solve puzzles. Improve your pytorch.
Ask any OAB exam question and get the correct answer.
Wrapper around llama-cpp-python for chat completion with LLaMA v2 models.
Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
Medical Question-Answering datasets prepared for the TREC 2017 LiveQA challenge (Medical Task)
Integrating UMLS Knowledge into Large Language Models for Medical Question Answering.