Awesome-Chinese-LLM - 整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。 LLM4Opt - Applying Large language models (LLMs) for diverse optimization tasks (Opt) is an emerging research area. This is a collection of referen...
Awesome-LLM 🔥 Large Language Models(LLM) have taken theNLP communityAI communitythe Whole Worldby storm. Here is a curated list of papers about large language models, especially relating to ChatGPT. It also contains frameworks for LLM training, tools to deploy LLM, courses and tutorials about...
awesome-chatgpt-prompts-zh: 地址:https://github.com/PlexPt/awesome-chatgpt-prompts-zh 简介:该项目是ChatGPT中文调教指南。包括各种场景使用指南,让chatgpt知道怎么听你的话,对指令构造可以提供一些参考。
今天给大家分享一个超级全面的大模型GitHub项目。这个项目把目前已经开源的所有中文大语言模型都汇集在一起了，并且都是规模较小、可私有化部署、训练成本较低的模型。项目里有各种底座模型，如ChatGLM系列底座、蓝蓝门系列底座、百款系列，还有在医疗、法律、金融、教育等垂直领域进行微调应用的模型。贴心的是开发者还...
Awesome LLM Inference Serving This repository contains the literature referenced in Taming the Titans: A Survey of Efficient LLM Inference Serving, and will be updated regularly. Table of Contents Table of Contents LLM Inference Serving in Instance Model Placement Model Parallelism Offloading Request ...
🐙 MCP GitHub Agent ♾️ MCP Browser Agent 🧠 Advanced LLM Apps 💬 Chat with X Tutorials 💾 LLM Apps with Memory Tutorials 🔧 LLM Fine-tuning Tutorials 🔧 Llama 3.2 Fine-tuning 🚀 Getting Started Clone the repository git clone https://github.com/Shubhamsaboo/awesome-llm-apps....
Before you add papers/tools into the awesome list, please make sure that:The paper or tools is related to Large Language Models (LLMs). If the compression algorithms or tools are only evaluated on small-scale language models (e.g., BERT), they should not be included in the list. The ...
awesome papers in LLM interpretability. Contribute to zepingyu0512/awesome-llm-understanding-mechanism development by creating an account on GitHub.
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality. - GitHub - kekewind/Awesome-LLM-Reasoning: Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought,
An overview of LLMs for cybersecurity. Contribute to tmylla/Awesome-LLM4Cybersecurity development by creating an account on GitHub.