Openlayer

Openlayer

软件开发

San Francisco,California 2,449 位关注者

The fastest way to ship airtight AI

关于我们

Openlayer is an evaluation workspace for AI. Startups and Fortune 500s alike use Openlayer to run tests, track and version models, and monitor production requests.

网站
https://openlayer.com
所属行业
软件开发
规模
2-10 人
总部
San Francisco,California
类型
私人持股
创立
2021
领域
machine learning、artificial intelligence、nlp、mlops、devops和synthetic data

地点

  • 主要

    650 California St

    Floor 6

    US,California,San Francisco,94108

    获取路线

Openlayer员工

动态

  • 查看Openlayer的公司主页,图片

    2,449 位关注者

    ?? Announcing LLM evals and real-time monitoring with Openlayer ?? Today, we are excited to release two major new features that have been highly requested, and some more on top! Join our Discord community for more updates and be a part of our exciting development journey! ?? https://lnkd.in/gZwskTnN ?? New features 1?? Evals for LLMs ?? You can now use Openlayer to evaluate your LLMs with the most comprehensive suite of tests on the market. Integrate your prompts/models/datasets effortlessly with a single line of code or directly from our platform, and instantly check for issues in your inputs and outputs such as PII leakage, invalid JSON schemas, malformed code syntax, and so much more. 2?? Real-time monitoring ?? Connect your production or test data and measure performance over time, for LLMs and all other task types supported by Openlayer. Hook into your inferences to log every data point, or upload predictions and ground truths in batch. Immediately get alerts when your metrics and tests start to fail. 3?? New metrics and tests ?? Openlayer now supports a much wider range of metrics and tests that can test the performance and quality of your models and data in development and production. Measure the runtime performance of your LLM by setting guardrails on latency and token usage. Guard against hallucinations using GPT-based evaluations like relevancy or harmfulness. Set expectations on your model inputs and outputs to ensure they are follow the correct schema or format. 4?? Slack & email notifications ???Stay in the loop with personal and team-wide Slack and email notifications. Get alerts when your models and data fail tests in development or production. Get updates on workspace activity in Openlayer, such as comments or changes to model deployment statuses. And the best part? You can experience all of these new powerful features first-hand today for free. Sign up at app.openlayer.com and get exploring! #launch #ai #ml #artificialintelligence #machinelearning

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  • 查看Openlayer的公司主页,图片

    2,449 位关注者

    At Openlayer, we are committed to maintaining the highest standards of security and privacy to protect your data. When using Openlayer, all you need to focus on are evaluations, and we'll make sure your data is protected with SOC 2, GDPR compliance, role-based access, SSO, air-gapped deployments, encryption, and automated backups across multi-region hosting. Learn more at https://lnkd.in/e4uBVpcp

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  • 查看Openlayer的公司主页,图片

    2,449 位关注者

    We just made it even easier to diagnose issues with your test results on Openlayer ? For every test you've created on Openlayer, you can now see: - new list view along with the graph view of test results over time - an overview of recent issues and aggregate counts for each test status type - error messages when a test is skipped or errored Try it out on https://app.openlayer.com

  • 查看Openlayer的公司主页,图片

    2,449 位关注者

    查看Rishab Ramanathan的档案,图片

    Co-Founder & CTO at Openlayer | Y Combinator (S21)

    I’m convinced the AI revolution can progress exponentially faster if we overcome one major challenge: the reliability problem. Ensuring consistently safe and functional outcomes across real-world scenarios is a mighty task for today’s AI teams. Unfortunately, the reliability problem isn’t going to vanish with better models or regulation — the more these models can do, the broader their scope (we can do a lot more good as well as bad with GPT-4o than we could with BERT). The only real solution to the reliability problem is a governance-inspired approach—exactly like societies rely on constitutions to guide human behavior. Think about some of the different “constitutions” we rely on: - The United Nations charter. - The Declaration of Independence and the Bill of Rights. - Regulatory codes in different industries (e.g. finance, pharma, energy, telecom, agriculture). - Company charters and mission statements. - Reddit forum guidelines. I wrote a blog post on how we, at Openlayer, bring constitutional AI (not in the way you might think) to the forefront, enabling teams to release AI applications with near behavioral guarantees. Here it is: https://lnkd.in/eSn6JfqZ A big thank you to Jun Yan Chua and Gustavo Cid Ornelas for their feedback, and to Vitor Viesi for the graphic.

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  • 查看Openlayer的公司主页,图片

    2,449 位关注者

    Hurb, the largest travel agency in Brazil, has partnered with Openlayer to accelerate the development of their AI initiatives. Read up on how they use our platform to continuously evaluate and monitor models shipping to their 20+ million users. "With this partnership, we will significantly accelerate the development of our machine learning models, maintaining the confidence that all updates will go through a rigorous validation process" - Vinicius Mello https://lnkd.in/egWYsyvm

    Hurb investe em melhorar o monitoramento de modelos de IA

    Hurb investe em melhorar o monitoramento de modelos de IA

    https://blog.hurb.com

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