Practical AI: Machine Learning, Data Science
Technology:Software How-To
Dominik Klotz from askui joins Daniel and Chris to discuss the automation of UI, and how AI empowers them to automate any use case on any operating system. Along the way, the trio explore various approaches and the integration of generative AI, large language models, and computer vision.
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Timestamps:
(00:05) - Welcome to Practical AI
(00:39) - Sponsor: Statsig
(04:17) - askui
(07:54) - What does data look like?
(09:58) - Tying in classification
(11:56) - Range of uses
(15:41) - Many platforms 1 approach
(16:47) - askui's practical approach
(20:27) - Deploying
(22:16) - Daniel's bad idea?
(25:54) - Handling input & output
(27:37) - Other tests
(29:09) - Sponsor: Changelog News
(30:50) - Facing AI challenges
(35:38) - Getting started
(37:42) - Roadmap challenges
(39:36) - Future vision
(41:36) - Conclusion
(42:21) - 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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