Evidently AI

Joaquin Wisozk

It’s exciting to see an open-source platform that offers so much for AI monitoring and testing. The detailed metrics and continuous evaluation features are particularly noteworthy.

10 months ago

Trenton Spencer

I’m impressed by how this tool integrates LLM observability into one platform. It’s a great way to ensure my AI models are performing as expected and quickly identify issues.

10 months ago

Dorcas Parker

Congrats on the launch! Have you found that Evidently's suggestions are pretty consistent across solutions, or does it really depend on the application at hand? For example, does it always recommend ChatGPT over Claude (or vice versa), or does it depend on the use case? (And if you can share two use cases where the answer is different, that'd be super cool!)

10 months ago

Joany Hansen

Amazing team with a fantastic product that's solving real-need. Congrats team Evidently.

10 months ago

Rupert Emmerich

How does Evidently AI handle complex datasets?

10 months ago

Orrin Batz

How does Evidently AI handle complex datasets, and what level of customization is available for the reports?

11 months ago

Scotty Feest

Love this are toolkits as part of Evidently AI to cover some of the most important AIOps use cases like monitoring model hallucinations, etc. I'm new to building products with AI, I'm curious if there are learning resources for someone like me to learn more about topics like how to test AI generated results. Or does the AI has some suggestions on what methods to use? Also, big props for making the Evidently platform open source - you have my support for making this available to the world! Congrats on the launch @elenasamuylova and team!

1 year ago

Dejon Bergstrom

Evidently AI seems like a powerful tool for simplifying data insights. Looking forward to exploring its features! What makes Evidently AI stand out from other analytics tools?

1 year ago

Quincy Medhurst

Hello guys, congrats! How does Evidently help streamline the evaluation process for LLM-powered applications compared to traditional ML models?🤔

1 year ago

Rahul Goyette

The ability to quickly identify issues in machine learning models is invaluable. This feels like a powerful way to keep everything running smoothly. Good luck with the continued development!

1 year ago

Rahul Goyette

Hi Elena and the Evidently AI team! 🚀 It’s fantastic to see Evidently AI expanding into the LLM space. The ability to evaluate and monitor LLM performance is crucial, especially as these models become more integral to various applications. Can you provide an example or case study demonstrating how Evidently AI has successfully helped a project manage LLM evaluation and quality assurance, particularly highlighting the impact on model performance or user experience? Looking forward to seeing how Evidently AI evolves in this new domain and thanks for making such valuable tools open-source! 🛠️📊

1 year ago

Enrico Wiza

It’s impressive how this simplifies monitoring machines learning models. the clarity it offers is really beneficial for data teams.

1 year ago

Adam Zemlak

Cracked team solving one of the hardest problems in LLMs today. If anyone is going to solve it, it's them.

1 year ago

Randi Prohaska

The ability to track data drift and monitor model performance seamlessly is impressive. I’m excited to see how this can streamline AI observability in real-world applications.

1 year ago

Adam West

Congrats Elena and team! Taking evaluation to the next level with LLMs! 🔥

1 year ago