Confident AI - Open Source Evaluation Infrastructure For LLMs
🚀 Elevate your Language Models with Confident AI! 🧠✨ - Open-source platform to evaluate LLMs for production - Write test cases in Python & define ground truths - Advanced diff tracking & analytics for optimization - A/B testing, reporting dashboard & monitoring for high ROI use cases - Deploy LLM solutions confidently! 🔍💡 #AI #LLM #ConfidentAI
- Confident AI offers a platform for justifying the use of Language Model (LLM) in production.
- The platform is open-source and easy to use with a generous free tier.
- Users can evaluate their LLMs by writing test cases in Python and executing them.
- Ground truths can be defined to ensure the LLM behaves as expected and benchmark its outputs.
- Advanced diff tracking allows for iterations to optimize the LLM stack.
- Comprehensive analytics help identify high ROI use cases.
- Features like A/B testing, evaluation, output classification, reporting dashboard, dataset generation, and detailed monitoring are available to optimize and improve LLM workflows.
- The platform aims to enable users to deploy LLM solutions confidently with substantial benefits and address weaknesses effectively.