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Designing Human-in-the-Loop Experiences for LLMs - Part 2

MLOps.community via YouTube

Overview

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Explore the challenges and solutions for integrating large language models (LLMs) into organizational workflows at scale in this insightful conference talk. Delve into the technical and user experience aspects of managing multiple human inputs to influence a single AI agent. Learn about crucial considerations such as determining which inputs to prioritize and how to effectively represent new learnings. Discover innovative approaches to transform LLM labeling into a collaborative process among users. Gain valuable insights from Alberto Rizzoli, co-founder of V7 and an accomplished AI innovator, as he shares his expertise in deep learning and training data workflows. Benefit from Rizzoli's extensive experience in developing AI solutions for global companies and his award-winning work in the field of artificial intelligence.

Syllabus

Designing Human in the Loop Experiences for LLMs // Alberto Rizzoli // LLMs in Prod Con Part 2

Taught by

MLOps.community

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