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It contains code and insights to fine-tune various large language models (LLMs) for different use cases. It also provides an evaluation framework to compare the performance, time, cost, and inference of different LLMs, both open-source and closed-source. It aims to make fine-tuning LLMs easier and more accessible. | It allows you to run open-source large language models, such as Llama 2, locally. |
Fine-tune various large language models (LLMs) for different use cases;
Provides an evaluation framework that measures the performance, time, cost, and inference | Run Llama 2, Code Llama, and other models;
Customize and create your own |
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That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

Transform basic prompts into expert-level AI instructions. Enhance, benchmark & optimize prompts for ChatGPT, Claude, Gemini & more.

It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.

Simultaneous multi-provider proxy for Claude Code - Do the splits with your Claude requests. - CedarVerse/vandamme-proxy

Open-source Chrome extension that uses a local LLM to automatically summarize, tag, and store AI conversation context. EXAONE 3.5 7.8B summarizes every 20 turns locally, auto-tagging project names, tech stack, and key decisions. Semantic vector search powered by Cloudflare Vectorize + bge-m3 (1024 dimensions, 100+ languages). Zero cloud API cost — your data never leaves your machine. 로컬 LLM이 AI 대화를 자동으로 요약·태깅·저장하는 오픈소스 크롬 확장 프로그램. EXAONE 3.5로 프라이버시를 지키면서 대화 맥락을 영구 보존합니다.

okCoach helps TikTok creators track growth, analyze content performance, and get AI-powered coaching. Free analytics platform with personalized insights to optimize your TikTok strategy.