Deepchecks Monitoring
Open Source Monitoring for AI & ML
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Kevin William David

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

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Continuously validate LLM-based applications including LLM hallucinations, performance metrics, and potential pitfalls throughout the entire lifecycle from pre-deployment and internal experimentation to production.🚀

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Best
Cool product. Congrats on the launch! 💪
Shir Chorev
Maker
@laurentiu_stefan thanks so much my friend!
Shai Yanovski
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!
Shir Chorev
Maker
@shai_yanovski Thanks so much. Appreciate your support throughout our journey! And looking forward to our next random meeting on bikes in the park 😅
Sergei Sherman
Great stuff, we are using deepchecks for our internal LLM evaluation, requires couple of minutes to get big insights!
philip tannor
Maker
@sergei2020 thanks a million my friend!
Yael Barsheshet
Congratulations!!
Shir Chorev
Maker
@yael_barsheshet1 thanks for your support!
Venkatesh
Looks cool
Nilay Jayswal
Congrats on the launch team!
Shir Chorev
Maker
@nilay1101 thanks my friend!
Luca Repetto
@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!
philip tannor
Maker
@rep_eat amen!!
Ariel Biller
Another quality product from deepchecks. you've been kicking ass this year!
philip tannor
Maker
@lstmeow thank you so much my friend!
Alex Gavril
An innovative approach to evaluating language models. The detailed insights it provides are invaluable for improving model performance. Congrats on the launch! 👏
philip tannor
Maker
@alex_gavril1 thanks, you rock!
Mahmudul Hasan
Congratulations 🎉🎉🎉
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