Deepchecks LLM Evaluation - Validate, monitor, and safeguard LLM-based apps

Thanks @kevin for hunting our LLM Evaluation solution 😊 👋 Hey, ProductHunt community I am Shir, co-founder and CTO of Deepchecks. At Deepchecks, we’ve built a pretty special solution for LLM Evaluation and are thrilled to launch it today on ProductHunt! When we launched our open-source testing package last year, we quickly received an overwhelming response with over 3K stars 🌟 and more than 900K downloads! After the launch of our NLP package in June, we noticed that an incredible amount of the feedback calls we were having about the NLP package were asking for help with evaluating LLM-based apps. 🤯 After creating an initial POC and getting feedback from various companies, we gained the confidence we needed to dive deeply into the LLM Evaluation space. And yes, turns out it’s a pretty big deal. 🚀 As we began working on the LLM Evaluation module, we’ve arrived at some important learnings that teams are struggling to figure out answers to these questions while deploying their LLM apps: - Is it good? 👍 (accuracy, relevance, usefulness, grounded in context, etc.) - Is it not problematic? 👎 (bias, toxicity, PII leakage, straying from company policy, etc.) - Evaluating and comparing versions (that differ in their prompts, basemodels, or any other change in the pipeline) - Efficiently building a process for automatically estimating the quality of the LLM interactions and annotating them - Deployment lifecycle management from experimentations/development, staging/beta testing, to production. Deepchecks LLM Evaluation solution helps with- ✅ Simply and clearly assess "How good is your LLM application?" 🔀 Track and compare different combinations of prompts, models, and code. 🔍 Gain direct visibility into the functioning of your LLM-based application. ⚠️ Reduce the risk during the deployment of LLM-based applications. 🏛 Simplify compliance with AI-related policies and regulations. We're also hosting a launch event today at 8.30 AM PST today, feel free to sign up to interact with the Deepchecks team and see a live demo: https://www.linkedin.com/events/... Apply for Deepcheks LLM evaluation access: https://deepchecks.com/solutions... 😊 Would appreciate any questions, and hope to see you there!

Excited for the launch! 🎉

I've been loving every release from this team. Can't wait to try this one out.

Wow. You guys can ship. I've seen at least two other really useful tools you've published in the past few months.

🚀 Congratulations on launching the Deepchecks LLM assessment! You have mastered analyzing applications using artificial intelligence! Your team did a complete job! 💯

Congratulations ! 🚀 Your journey from the overwhelming success of your open-source testing package to this latest venture is truly inspiring. It's evident that Deepchecks has tapped into a vital need in the rapidly evolving field of language model applications.

Congratulations on the launch! It's an amazing and much-needed product.

Congratulations Deepchecks team on the launch! 🚀 It is truly an impressive solution in the world of LLMs!

Cool product. Congrats on the launch! 💪

Nice! How does it support RAG if any?

Congrats team Deepchecks LLM Evaluation on the launch!

Congratulations on launching the Deepchecks LLM assessment! This is an incredible achievement and a testament to your team's dedication to the field. I can see how this will be a game-changer for many projects. Keep up the great work!

Great stuff, we are using deepchecks for our internal LLM evaluation, requires couple of minutes to get big insights!

@ptannor, outstanding work! This Deepchecks LLM Evaluation looks absolutely amazing. I'm sure it will help validate, monitor, and safeguard LLM-based apps with ease. Bravo!

Another quality product from deepchecks. you've been kicking ass this year!

An innovative approach to evaluating language models. The detailed insights it provides are invaluable for improving model performance. Congrats on the launch! 👏

Looks cool

Congrats on the launch team!

Impressive concept—congrats!

Congratulations!!