Our Co-Founder & CTO, Boris Selitser, will be speaking alongside industry leaders from NVIDIA, Microsoft, and Galaxy Interactive to explore the evolving landscape of AI infrastructure at Microsoft’s Mountain View Campus tomorrow. Learn more here: https://lu.ma/91mdmxtl
Okareo
软件开发
San Francisco,CA 535 位关注者
LLM Evaluation and Fine-Tuning to Help You Build Smarter AI Apps
关于我们
Okareo offers the most comprehensive LLM evaluation and fine-tuning platform to ensure AI application developers can deliver high-quality LLM-powered applications fast.
- 网站
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https://okareo.com/
Okareo的外部链接
- 所属行业
- 软件开发
- 规模
- 2-10 人
- 总部
- San Francisco,CA
- 类型
- 私人持股
- 创立
- 2023
- 领域
- Model Evaluation、ML Evaluation Framework、Natural Language Processing、Natural Language Understanding、Large Language Models、Neural Information Retrieval、RAG、Retrieval Augmented Generation、Semantic Analysis 、Model Performance、Grounded Generation、ML Testing Automation、 Model Benchmarks、GenAI、Generative AI、NLP、LLM和Machine Learning
地点
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主要
US,CA,San Francisco
Okareo员工
动态
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Mark your calendars! ??? Okareo is launching on Product Hunt on April 9th, 2025! Debugging AI driving you crazy? ??? Okareo to the rescue! ?? Our structured solution simplifies your agent and RAG debugging workflow, so you can focus on building amazing things! ?? Get notified: https://lnkd.in/gnbzjNsA #debugging #productivity #agents #RAG
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?? Join us for an insightful webinar on Evaluating Agentic Function Calls in Production on March 27, at 11:00 AM PT! We'll cover: - The concept of agentic function calls and their significance in LLMs - Benchmarking techniques for function call performance - Challenges of applying these approaches in real-world production environments - Innovative strategies for leveraging LLMs to evaluate function calls Don't miss this opportunity to enhance your understanding of LLMs and their practical applications! Register now to secure your spot: https://lnkd.in/dc-4jmfU #LLMs #AgenticFunctionCalls #Production #AI #Webinar
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?? Webinar Replay: Enhancing LLM App Development - Overcoming Agentic Network & RAG Challenges! ?? Key takeaways include understanding the agentic RAG workflow, building a docs & blog agent, and connecting retrieval to an agent network. ?? Watch here: https://lnkd.in/gahZsMcu #AI #RAG #MachineLearning #Webinar
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Retrieval Augmented Generation (RAG) is foundational for building robust LLM applications. It's fast becoming essential for most modern use cases! ?? Learn how Okareo, a RAG evaluation tool, can be used to evaluate each component of a RAG architecture in our blog. ?? https://lnkd.in/gSy4dy_r #RAG #LLM #Okareo
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Evaluating LLMs is crucial for optimal performance ?? LLM observability and monitoring data offers a goldmine for targeted improvements. By analyzing real-world user inputs and model responses, you can pinpoint areas for enhancement and fine-tune your LLM application for better results. Want to learn more about LLM evaluation and fine-tuning? Check out our blog post: https://lnkd.in/gAQsDC7w #LLM #Observability #FineTuning
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?? Join us for an upcoming webinar on "Enhancing LLM App Development: Overcoming Agentic Network and RAG Challenges"! In this webinar, we'll dive into common challenges faced by developers when building applications with Large Language Models (LLMs) that leverage agentic networks and Retrieval Augmented Generation (RAG). We'll also discuss strategies for improving retrieval accuracy, ensuring context adherence, and efficient error tracking and debugging. Register here: https://lnkd.in/g5VwjjBn #LLM #webinar #appdevelopment
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Missed our recent webinar on "Debugging AI Agents"? ?? No worries! The recording is now available on our blog: https://lnkd.in/g_J_cPeZ We cover common challenges, effective techniques, and best practices for building AI agents. Check it out and let us know what you think! #AI #Debugging #Webinar
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?? Machine learning engineers and software engineers: are you confident in the production readiness of your LLM-powered apps? ?? Synthetic data is now essential for LLM evaluation and fine-tuning, ensuring your products perform optimally. ?? Learn how to generate synthetic data for specific use cases with Okareo - the ultimate tool for evaluating LLMs, RAG, and agents. Read more in our latest blog post:?https://lnkd.in/gpbF6v69 #LLM #SyntheticData #MachineLearning #SoftwareEngineering
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Are you using RAG systems in your enterprise or SaaS product? Then you NEED to implement regression testing! New data, new tenants, even model drift can cause your RAG's responses to degrade. Don't let that happen! Learn how to integrate RAG evaluation into your CI workflow and move from proof-of-concept to a mature, stable RAG product. Read more in our latest blog post: https://lnkd.in/gcMbpvwQ #RAG #MachineLearning #RegressionTesting #SoftwareDevelopment
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