Practical AI: Machine Learning, Data Science
Technology
In this Fully Connected episode, Daniel and Chris explore recent highlights from the current model proliferation wave sweeping the world - including Stable Diffusion XL, OpenChat, Zeroscope XL, and Salesforce XGen. They note the rapid rise of open models, and speculate that just as in open source software, open models will dominate the future. Such rapid advancement creates its own problems though, so they finish by itemizing concerns such as cybersecurity, workflow productivity, and impact on human culture.
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Timestamps:
(00:00) - Welcome to Practical AI
(00:43) - Introductions
(01:16) - Chris switching jobs
(01:36) - Animal advocacy and AI
(02:24) - The proliferation of models
(03:47) - SD-XL 0.9
(06:55) - The multi-model approach
(08:51) - Vertical limits
(13:18) - History repeats itself
(13:55) - Sponsor: Changelog News
(15:28) - Open models catching up
(17:45) - Zero Scope XL
(19:17) - How to evaluate
(24:48) - Quantizing your model
(26:28) - 7b parameter zone
(28:13) - Mosaic's acquisition
(32:20) - AI in business decisions
(33:50) - We're in the wild west
(37:32) - AI culture
(38:33) - Models are tools
(41:26) - Outro
AI in the U.S. Congress
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
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