Keynote - LLM Monitoring & Observability
Автор: Arize AI
Загружено: 2023-09-13
Просмотров: 3609
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Jason Lopatecki is CEO and Co-Founder of Arize AI.
In this keynote, he outlines a vision for LLM monitoring and observability and covers everything from LLM traces and spans to LLM evals, prompt testing and iteration, RAG search and retrieval, and fine-tuning. He covers the wide array of LLM use cases — like chatbots, structured data extraction, summarization, Q&A assistants, web scraping, code generation, and tagging and labeling — before outlining supported LLM span types. He then previews an exciting launch around LLM evals.
This talk was originally delivered at “From Toy To Production: Building LLM-Powered Systems that Work in the Real World,” an event in New York City dedicated to scaling LLM-powered systems from experimental stages to real-world production environments.
Get updates from Arize on future events: https://arize.com/community/
Learn more about LLMOps best practices in our course covering LLM evaluation, guardrails, building your own chatbot, chains and agents, and more: https://arize.com/blog-course/introdu...
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