[NeurIPS 2023 Spotlight] In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Java version of LangChain

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

5X faster 60% less memory QLoRA finetuning

An efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM, Llama, Baichuan, Qwen, ChatGLM)

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

A comprehensive guide to building RAG-based LLM applications for production.

LLM Finetuning with peft

LLM (Large Language Model) FineTuning

Get up and running with Llama 2, Mistral, Gemma, and other large language models.

Operating LLMs in production

RAG chatbot using Llama 2, chainlit and Faiss