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It is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs). It supports any ggml Llama, MPT, and StarCoder model on Hugging Face (Llama 2, Orca, Vicuna, Nous Hermes, WizardCoder, MPT, etc.) | Continuously validate your LLM-based application throughout the entire lifecycle from pre-deployment and internal experimentation to production. |
Run LLMs on your laptop, entirely offline;
Use models through the in-app Chat UI or an OpenAI compatible local server;
Download any compatible model files from HuggingFace repositories;
Discover new & noteworthy LLMs in the app's home page | LLM evaluation;
Real-time monitoring;
Simplify compliance with AI-related policies, regulations, and soft laws |
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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 allows you to run open-source large language models, such as Llama 2, locally.

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.

Find what caused your AI bill. Opsmeter gives endpoint, user, model, and prompt-level AI cost attribution in one view.

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

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.

The collaborative testing platform for LLM applications and agents. Your whole team defines quality requirements together, Rhesis generates thousands of test scenarios covering edge cases, simulates realistic multi-turn conversations, and delivers actionable reviews. Testing infrastructure built for Gen AI.

Practice your interview skills with AI-powered interviewers. Simulate real interview scenarios and improve your performance. Get instant feedback. Get complete overview and a plan with next steps to improve.