awesome for your to collections

based on: 总结当下可用的大模型LLMs

based on 总结开源可用的Instruct/Prompt Tuning数据

• Prompt Engineering Guide - Guides, papers, lecture, and resources for prompt engineering
  • notebooks
• LangChain - ⚡ Building applications with LLMs through composability ⚡
  • ChatLangChain is an implementation of a locally hosted chatbot specifically focused on question answering over the LangChain documentation. Built with LangChain and FastAPI.
  • Langflow - LangFlow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box.
• [Alpaca]
  • Alpaca-LoRA - Low-Rank LLaMA Instruct-Tuning, Instruct-tune LLaMA on consumer hardware .
  • Alpaca-LoRA as a Chatbot Service
  • AlpacaDataCleaned
  • BELLE - Bloom-Enhanced Large Language model Engine，针对 Stanford Alpaca 中文做了优化，模型调优仅使用由ChatGPT生产的数据（不包含任何其他数据）。
  • https://github.com/LC1332/Chinese-alpaca-lora - A Chinese finetuned instruction LLaMA.
  • Dolly - fine-tunes the GPT-J 6B model on the Alpaca dataset using a Databricks notebook.
• ChatRWKV - ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
• [GPT-j]

• PEFT - Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters.

Semantic Kernel

Semantic Kernel is designed to support and encapsulate several design patterns from the latest in AI research, such that developers can infuse their applications with complex skills like prompt chaining, recursive reasoning, summarization, zero/few-shot learning, contextual memory, long-term memory, embeddings, semantic indexing, planning, and accessing external knowledge stores as well as your own data.

• MathPrompter: Mathematical Reasoning using Large Language Models