Make abliterated models with transformers, easy and fast

About The official GitHub page for ''Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models'' Resources

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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

Active semi-supervised clustering algorithms for scikit-learn

RStudio Cheat Sheets

The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"

Train transformer language models with reinforcement learning.

Robust and Fast tokenizations alignment library for Rust and Python https://tamuhey.github.io/tokenizations/

LAnguage Model Analysis

Uncertainty-Aware Curriculum Learning for Neural Machine Translation (ACL 2020)

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

This repository contains the code for "How many data points is a prompt worth?"