?? 500 ML and LLM use cases from 100+ companies! How do top companies design their AI systems? We updated our database of practical ML use cases, including real-world LLM and Gen AI applications ?? https://lnkd.in/dWiPV4MR
关于我们
A collaborative AI observability platform. Evaluate, test and monitor any AI-powered product. Open-source ML monitoring and LLM evaluation.
- 网站
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https://evidentlyai.com
Evidently AI 的外部链接
- 所属行业
- IT 服务与咨询
- 规模
- 2-10 人
- 总部
- San Francisco
- 类型
- 私人持股
- 创立
- 2020
- 领域
- machine learning、data science、mlops、observability和llm
地点
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主要
US,San Francisco
Evidently AI 员工
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Svetlana Popova
Technical Lead, Head of Engineering
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Elena Samuylova
Co-Founder Evidently AI (YC S21) | Open-source tools to evaluate and monitor AI-powered products.
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Emeli Dral
Co-founder and CTO Evidently AI | Machine Learning Instructor w/100K+ students
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Daria Maliugina
Community manager ?? @ Evidently AI. We are building THE open-source tools to test, evaluate and monitor ML models
动态
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???? Join our free course on LLM evaluations for AI product teams that starts December 9! Seven days of byte-sized videos into your inbox and a course certificate. No coding skills required. Enroll here ?? https://lnkd.in/dYQwPhef
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??? Join the dark side... or stay in the light! Now you can switch between Dark and Light themes both in Evidently Cloud and open-source. Which will you choose? https://lnkd.in/dwb2Yqdm
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Hacktoberfest is over, and what an incredible month it was! Huge ?? to our contributors Jonathan Bown, Gagandeep Bhullar, Jonas Ferrao, Trey Capps, Rama Chaitanya Karanam, and Sifr-un (GitHub) for helping us add new LLM evaluations to the Evidently library, including BERTScore, JSONMatch, WordMatch, IsValidPython, and ContainsLink. Evidently is built with the help of the community, and thanks to you, it becomes a better library, one contribution at a time. And as tradition demands, we planted some trees in the name of our contributors ?? This time, in Madagascar! #hacktoberfest #opensource
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?? LLM-as-a-judge: a complete guide to using LLMs for evaluations. How it works, how to build an LLM judge and craft good prompts, and what are the alternatives to LLM evaluators ?? https://lnkd.in/dkGvYjn2
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?? Streamline your ML pipelines with MLOps best practices! Join us in London on Nov 5 for MLOps Clinic event by Digital Catapult: hands-on demos of pre-built MLOps pipelines, curated knowledge hub, and MLOps tools landscape ?? https://lnkd.in/d7HcbPSm
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LLM evals + Hacktoberfest = ?? This year, we invite contributors to add new LLM evaluation metrics to the open-source Evidently library. Join the kickoff call on Oct 3 to learn how to participate ?? https://lu.ma/34qzwn2y #Hacktoberfest #OpenSource
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?? This Thursday, join us for the online webinar on LLM-as-a-judge! Elena Samuylova will discuss how to evaluate LLM systems using LLM judges and how to assess their performance ?? https://lu.ma/vqxyrhly
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???? Webinar: how to use LLM-as-a-judge to evaluate LLM systems! Join us on September 26 as Elena Samuylova discusses what LLM evals are, how to use LLM judges, and what makes a good evaluation prompt ?? https://lu.ma/vqxyrhly
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?? New open-source tutorial: how to create an LLM judge in five simple steps! Follow the code example to learn how to create, tune, and evaluate LLM judges ?? https://lnkd.in/dGMvkutX