A curated list of data science & AI guided projects to start building your portfolio

Open-source alternative to Assistant's API with a managed backend for memory, RAG, tools and tasks. ~Supabase for building AI agents.

Anthropic's educational courses

Build AI Assistants with memory, knowledge and tools.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Machine Learning and Computer Vision Engineer - Technical Interview Questions

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀

Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"

a simplified version of Meta's Llama 3 model to be used for learning

LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces

This repository contains demos I made with the Transformers library by HuggingFace.

Code accompanying the paper Pretraining Language Models with Human Preferences

A generative AI extension for JupyterLab

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.

A curated list of awesome AI safety papers, projects and communities.

Self-study on Larry Wasserman's "All of Statistics"

A curated list of Large Language Model (LLM) Interpretability resources.

Just a mini tutorial on safe rl

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

Related papers for reinforcement learning, including classic papers and latest papers in top conferences

Assignments for COMS 6998 - Practical Deep Learning Systems Performance at Columbia

An advanced course on reinforcement learning offered at Columbia University IEOR in Spring 2018