chenhaodev / awesome-llm-app-insights

A repo offers insights and advice on using Large Language Models (LLMs) for daily tech activities and projects. It's designed for anyone interested in coding, automation, or boosting creativity and productivity with LLMs

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This repo offers insights and advice on using Large Language Models (LLMs) for daily tech activities and projects. It's designed for anyone interested in coding, automation, or boosting creativity and productivity with LLMs.

llm-agent-crewai

llm-agent-crewai cutting-edge framework for orchestrating role-playing, autonomous ai agents. by fostering collaborative intelligence, crewai empowers agents to work together seamlessly, tackling complex tasks. TODO: update config for switch sota llm and gguf.

llm-coder-tabby

tabby-llmcoder-vim tabby is a self-hosted ai coding assistant, offering an open-source and on-premises alternative to github copilot. The plugins support vscode/vim.

ollama-chatpdf

ollama-chatpdf offers a chat functionality integrated with documents, hosted entirely locally. It utilizes Voy for vector storage within the browser through WebAssembly; deploys a local large language model via Ollama for the web app; leverages LangChain.js for managing model interactions and data retrieval; and uses Transformers.js to facilitate the running of Nomic embeddings directly in the browser.

mixtral performance down-graded. e.g. it cannot find the right sections.

whisper.cpp

whisper.cpp a Python CLI/application that utilizes whisper.cpp for converting speech to text.

rag-langchain

rag-langchain is a Python CLI/application designed to employ ollama/offline-LLM and retrieve documents in paper/pdf, html, txt formats for enhanced human interaction.

awesome-llm-sum

awesome-llm a curated list of awesome llm agents. open source, application, platform, or resources.

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A repo offers insights and advice on using Large Language Models (LLMs) for daily tech activities and projects. It's designed for anyone interested in coding, automation, or boosting creativity and productivity with LLMs


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