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A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
open source interpretability platform 🧠
This was designed for interp researchers who want to do research on or with interp agents to give quality of life improvements and fix some of the annoying things you get from only using Claude cod…
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…
A framework for few-shot evaluation of language models.
Prompts used in the Automated Auditing Blog Post
Auditing agents for fine-tuning safety
A comprehensive book on neural networks and large language models in NLP
Build Reasonable Applications with Clojure in the World of Natural Language Programming
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
A collection of design patterns/idioms in Python
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Preparation links and resources for system design questions
Learn System Design concepts and prepare for interviews using free resources.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A course on aligning smol models.
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.