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EvidentlyAI has launched on Product Hunt, introducing updated open-source functionalities aimed at enhancing evaluations and observability for various LLM applications, including retrieval-augmented generation (RAG) and chatbots. The launch is part of a broader initiative to improve user experience with better filtering options for LLM requests and the ability to create datasets for fine-tuning tools. Additionally, Helicone is preparing for its launch on Product Hunt, scheduled in three days, with features designed for tracing and debugging AI agents and RAG chatbots. This includes the ability to visualize requests within a single user session and refine prompts for improved performance. The developments reflect a growing trend in the AI sector towards more integrated and user-friendly tools for managing AI workflows.
🚀 Re-Launching Helicone, Day (2/3) - Sessions for Agent Tracing 🚀 The future of AI is agentic. As platforms like @wordware_ai and @dify_ai rise, we built a solution to help you see how everything fits together. With @helicone_ai's sessions, you can seamlessly trace AI agents,… https://t.co/PbjYOwz2sy
T-2 days until we launch on Product Hunt! (2/3) ⭐ Introducing Sessions — trace and debug your AI agent and RAG chatbot — here’s what to expect: → visualize all the requests in a single user session → trace AI agent and debug complex AI workflows → refine your prompt in… https://t.co/vdaWw0U4fB
🚀 @EvidentlyAI is live on @ProductHunt! Excited to launch the updated open-source functionality: evaluations and observability for any LLM apps, from RAGs to chatbots. Help spread the word and support us on PH: https://t.co/E1bjAvhuFv Here is what Evidently does 👇 1/4 🧵
