Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Applied NLP solutions & AI education
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