Practical AI: Machine Learning, Data Science
Technology
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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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
First impressions of GPT-4o
Full-stack approach for effective AI agents
Autonomous fighter jets?!
Private, open source chat UIs
Mamba & Jamba
Udio & the age of multi-modal AI
RAG continues to rise
Should kids still learn to code?
AI vs software devs
Prompting the future
Generating the future of art & entertainment
YOLOv9: Computer vision is alive and well
Representation Engineering (Activation Hacking)
Leading the charge on AI in National Security
Gemini vs OpenAI
Data synthesis for SOTA LLMs
Large Action Models (LAMs) & Rabbits 🐇
Collaboration & evaluation for LLM apps
Advent of GenAI Hackathon recap
AI predictions for 2024
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