Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

Convert arxiv papers to markdown

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

This repo includes Claude prompt curation to use Claude better.

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command li…

The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.

From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓

[ACL 2023] Reasoning with Language Model Prompting: A Survey

Awesome papers about unifying LLMs and KGs

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Collection of all the GPTs created by the community

PyTorch source code of NAACL 2021 paper "Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation".

Python source code for EMNLP 2020 paper "Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT".

Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.

Source code for the ACL 2019 paper "Attention-based Conditioning Methods for External Knowledge Integration"

PyTorch implementation of Variational LSTM and Monte Carlo dropout.

Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.

Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Some useful tips for faiss

Source code and other materials for my blog posts.

Main repo of PyCon 2020 Tutorial

A simple Notion template to track Leetcode problems and save your solutions

NTREX -- News Test References for MT Evaluation

an easy-to-use knn-mt toolkit