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YouTube

Complete AI Course - Master Prompting, Evals, RAG and Fine-Tuning in 46 Minutes

Peter Yang via YouTube

Overview

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Learn essential AI product development techniques through an interview with Adam Loving from Meta, who has guided hundreds of companies in crafting AI products. Discover the two fundamental types of AI optimizations every product manager should understand, then master four key strategies for creating compelling AI prompts that deliver better results. Explore four critical types of AI evaluations to implement in your projects and uncover advanced scoring techniques for sophisticated AI assessment. Gain a comprehensive understanding of retrieval augmented generation (RAG) and its practical applications, while examining whether fine-tuning compromises your AI model's capabilities. Demystify vector databases and their role in AI systems, understand Meta's perspective on why open source AI will dominate the market, and benefit from expert advice drawn from leading hundreds of AI integrations across diverse industries.

Syllabus

00:00 The 2 types of AI optimizations every PM needs to know
02:52 4 tips to craft compelling AI prompts
07:14 4 types of AI evaluations to consider
12:06 The scoring trick for advanced AI evaluations
21:50 Retrieval augmented generation explained
27:29 Is fine-tuning basically lobotomizing your AI model?
30:31 Now I finally understand vector databases
41:40 Why Meta thinks open source will win
44:04 Adam's best advice after leading 100s of AI integrations

Taught by

Peter Yang

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