We are coming to Toronto! Join other AI Product Engineers and the TitanML team on Sunday! RSVP: lu.ma/pv8xduzp

Evaluate & test your LLM application: 🧸 Use a toy chatbot dataset ⚖️ Evaluate responses using text statistics, model-based evals, LLM-as-a-judge 📈 Visualize results 📊 Get a dashboard to track them over time ✅ Run conditional checks Watch tutorial: youtube.com/watch?v=qwn0Uq…

Incredible AI dinner in Toronto by TitanML at #TMLS2024! 🍽️🧠 20+ AI enthusiasts braved the rain for electrifying discussions on #GenerativeAI, implementation challenges, and scalability. Our community was there, connecting with builders shaping the future of AI products!

LLMs are powerful. But building reliable and effective production-grade LLM systems is hard. We compiled 35 real-world LLM applications from companies that share their learnings from building LLM systems in production: evidentlyai.com/blog/llm-appli… Here are 5 picks 👇 1/7 🧵

Evidently has 5000 ⭐️ on GitHub 🎉🎉🎉 Thank you for using Evidently and helping us make it a trusted open-source ML and LLM observability framework! Let AI observability be available to all! To support the project, give us a ⭐️: github.com/evidentlyai/ev…

🚀 Evidently AI is live on Product Hunt 😸 Evaluations and observability for any LLM apps, from RAGs to chatbots: 📚 100+ built-in checks 🚦 Offline evals & live monitoring 🛠 Custom metrics & LLM judge templates ✅ Open-source! Let us know what you think: producthunt.com/posts/evidentl…

🚀 Meet Evidently Cloud for LLM product observability 🐾 Trace your LLM app 🔡 Store and organize raw data 📈 ​​100+ checks & easy-to-create custom LLM judges 📁 No-code workflow Generous free tier, try it out! Blog: evidentlyai.com/blog/evidently… Demo event: lu.ma/r0atjwlo