a tester's guide to llms, tools and agents
This event offers two practical talks on testing LLMs, tools, and AI agents, focusing on measuring AI quality and converting AI failures into repeatable test cases. It's designed for QA engineers, SDETs, developers, and anyone involved in AI-powered features.
a tester's guide to llms, tools and agents
This event offers two practical talks on testing LLMs, tools, and AI agents, focusing on measuring AI quality and converting AI failures into repeatable test cases. It's designed for QA engineers, SDETs, developers, and anyone involved in AI-powered features.
This Taqelah event offers practical guidance for testing products that incorporate large language models (LLMs) and AI agents. It addresses the challenges of testing non-deterministic systems where traditional methods may not apply. Attendees will learn how to measure LLM quality, select appropriate metrics, and transform real-world AI failures into repeatable test cases. The event is suitable for QA engineers, developers, and anyone involved in testing AI-powered features, regardless of prior machine learning experience.
Listed on Luma. Full details and registration on Luma
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