Agenta
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About
Agenta is an open-source platform that supports the development of Large Language Model (LLM) applications. It offers features for prompt engineering, automatic evaluation, and monitoring of LLM apps, making it easier for teams to collaborate, gather human feedback, and ensure robust app deployment. The platform works seamlessly with various AI frameworks and model providers, emphasizing a developer-first approach, enabling quick iterations, and accelerating the path from development to production. With integrated tools for evaluation and observability, Agenta helps teams efficiently manage the complexities of LLM applications.
Platform
Features
• collaborative playground for prompt engineering
• monitoring and debugging capabilities
• integrations with various ai tools
• works with all frameworks and model providers
• human feedback gathering interface
• automatic evaluation of prompts and models
FAQs
Do I need to know how to code to create LLM applications with Agenta?
Can I use Agenta with a self-hosted fine-tuned model such as Llama or Falcon?
How can I limit hallucinations and improve the accuracy of my LLM apps?
Is it possible to use vector embeddings and retrieval-augmented generation with Agenta?
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