🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Code for Contrastive Preference Learning (CPL)

This is the project to quantify the issues with LLM's self evaluation

State-of-the-art LLM-based translation models.

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

Multilingual safety benchmark for Large Language Models

A quick guide (especially) for trending instruction finetuning datasets

distributed trainer for LLMs

Codes for papers on Large Language Models Personalization (LaMP)

Code and documentation to train Stanford's Alpaca models, and generate the data.

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

The unofficial python package that returns response of Google Bard through cookie value.

DSIR large-scale data selection framework for language model training

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages -- ACL 2023

A curated list of awesome instruction tuning datasets, models, papers and repositories.

Cayman is a Jekyll theme for GitHub Pages

This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.

[NIPS2023] RRHF & Wombat

First explanation metric (diagnostic report) for text generation evaluation

This repo contains all the codes for SEScore implementation

Best LeetCode friend for geek. 🏂

Making large AI models cheaper, faster and more accessible