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Complete AI Course on Prompting, Evals, RAG, and Fine-Tuning | Adam Loving (Meta)

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Manage episode 486186641 series 3621237
Content provided by Peter Yang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Peter Yang or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Adam Loving (Meta) has helped 100s of companies craft AI products. Our interview is a complete, beginner friendly AI course on how to use prompting, evals, RAG, and fine-tuning to build great AI products.

Timestamps:

(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 integrationsWhere to find Adam:

LinkedIn: https://www.linkedin.com/in/adamloving/

Website: https://www.llama.com/Get the takeaways: https://creatoreconomy.so/p/complete-ai-course-on-prompting-evals-rag-fine-tuning-adam-loving📌 Subscribe to this channel – more interviews coming soon!

  continue reading

60 episodes

Artwork
iconShare
 
Manage episode 486186641 series 3621237
Content provided by Peter Yang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Peter Yang or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Adam Loving (Meta) has helped 100s of companies craft AI products. Our interview is a complete, beginner friendly AI course on how to use prompting, evals, RAG, and fine-tuning to build great AI products.

Timestamps:

(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 integrationsWhere to find Adam:

LinkedIn: https://www.linkedin.com/in/adamloving/

Website: https://www.llama.com/Get the takeaways: https://creatoreconomy.so/p/complete-ai-course-on-prompting-evals-rag-fine-tuning-adam-loving📌 Subscribe to this channel – more interviews coming soon!

  continue reading

60 episodes

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