Practical AI: Machine Learning, Data Science
Technology
Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! brev.dev is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!
Discuss on Changelog News
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
brev.dev
DISCOUNT for our listeners 🔥:
Something missing or broken? PRs welcome!
Timestamps:
(00:00) - Intro
(00:45) - Welcome to Practical AI
(01:20) - Nader Khalil
(07:56) - Dependency issues
(10:22) - Stepping away from the classical approach
(13:55) - Getting excited about Brev.dev
(18:14) - Multi-cloud considerations
(24:57) - Brev.dev Templates
(31:16) - Collaboration with Brev
(32:59) - Brev in private environments
(35:30) - Nader's future
(39:05) - 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
Create your
podcast in
minutes
It is Free
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
The Unbelivable Truth - Series 1 - 26 including specials and pilot
Acquired