SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…

Ongoing research training transformer models at scale

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

The official repo of Pai-Megatron-Patch for LLM & VLM large scale training developed by Alibaba Cloud.

distributed trainer for LLMs

CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Robust recipes to align language models with human and AI preferences

A framework for few-shot evaluation of language models.

A high-throughput and memory-efficient inference and serving engine for LLMs

Train transformer language models with reinforcement learning.

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

Tevatron - A flexible toolkit for neural retrieval research and development.

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

Code for "LoRA: Low-Rank Adaptation of Large Language Models"

Sample code for the Flask tutorial in the VS Code documentation

Codebase for the Medium Article on Fine-tuning GPT2 for Text Generation

Code for Stanford CS224u

.NET is a cross-platform runtime for cloud, IoT, and desktop apps.

A novel method for few shot learning

scikit-learn: machine learning in Python