We’re super excited to welcome Jay Alammar to the show. Jay is a well-known AI educator, applied NLP practitioner at co:here, and author of the popular blog, “The Illustrated Transformer.” In this episode, he shares his ideas on creating applied NLP solutions, working with large language models, and creating educational resources for state-of-the-art AI.

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Featuring:

• Jay Alammar – Twitter, GitHub, Website
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• Jay’s popular blog (with posts including “The Illustrated Transformer”)
• co:here
• Topically sandbox - topic modeling
• co:here’s prompt engineering guide

Something missing or broken? PRs welcome!

Timestamps:

(00:00) - Welcome to Practical AI
(00:42) - Jay Alammar
(03:33) - Jay's origin story
(08:49) - Tips for educational content creators
(12:26) - Applied NLP
(16:34) - Are data scientists becoming software engineers?
(21:47) - When should I be using these tools?
(25:55) - co:here
(28:39) - How is this landscaoe changing?
(32:41) - Multi-modality: How do I use this?
(35:56) - Jay, what do you want to explore?
(37:42) - Outro