Computer Vision Meetup: Why You Should Evaluate Your End-to-End LLM applications with In-House Data

Computer Vision Meetup: Why You Should Evaluate Your End-to-End LLM applications with In-House Data

This talk discusses end-to-end NLP evaluations, focusing on key areas, common pitfalls, and the workings of production evaluation systems. It also explores how to fine-tune in-house LLMs as judges using custom data for more accurate performance assessments.

About the Speaker

Mahesh Deshwal is a Data Scientist and AI researcher with over 5.5 years of experience in using ML and AI to solve business problems, particularly in Computer Vision, NLP, recommendation, and personalization. As the author of the paper PHUDGE and an active open source contributor, he excels in delivering end-to-end solutions, from user requirements to deploying scalable models using MLOps.

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Recorded on Aug 8, 2024 at the AI, Machine Learning and Computer Vision Meetup.

#computervision #machinelearning #datascience #ai #artificialintelligence