instructrl

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

From the Tensor to Stable Diffusion, a rough outline for a 1 week course.

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.