It is a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). | It is a new approach that simplifies the task of generating structured JSON. By filling in fixed tokens intelligently and leveraging language models for content, it improves the reliability and efficiency of JSON generation compared to existing methods. |
Easily and effectively fine-tune LLMs without the need for any coding experience;
Use a graphic user interface (GUI) specially designed for large language models | Bulletproof JSON generation;
Flexible and extendable |
Statistics | |
GitHub Stars 4.7K | GitHub Stars 4.8K |
GitHub Forks 500 | GitHub Forks 186 |
Stacks 2 | Stacks 1 |
Followers 4 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

It allows you to run open-source large language models, such as Llama 2, locally.

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.

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.

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 an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.

Build, train, and deploy state of the art models powered by the reference open source in machine learning.

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 an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.

It is a Rust ecosystem of libraries for running inference on large language models, inspired by llama.cpp. On top of llm, there is a CLI application, llm-cli, which provides a convenient interface for running inference on supported models.