1:27:53 | September 29, 2024
2:30:29 | September 22, 2024
2:04:55 | September 15, 2024
2:29:25 | September 01, 2024
September 22, 2024
After exploring how AI models function and discovering the best ways to extract information from them, in this episode will dive into the solutions available on the market. With our guests, we'll compare these options and discuss when it’s best to use one over the other.
0:00:00 - Introduction and welcoming
0:05:22 - A Brief History of Gen AI Tool Competition
0:11:55 - Big moments of Gen AI History
0:18:01 - Current lanscape of the Gen AI market
0:37:00 - What is the best approach to compare Gen AI products
0:44:40 - Lanscape of the opensource Gen AI models
0:53:17 - Gen AI ecosystem and Developer platforms
0:57:55 - Image and Video Gen AI
1:16:30 - Regulation and Ethics in Gen AI market
1:22:02 - Is Meta open-sourcing their Gen AI models a market differentiation technique?
1:28:00 - Is Gen AI a solution waiting for problems? Examples of AI based use cases and products?
2:00:48 - Prediction about the future of Gen AI
2:15:26 - Is the hardware we have sufficient for the current and future AI needs?
2:17:52 - Using Gen AI for cyber security
2:25:08 - Final words and closing
Kling AI Suno AI 4M - EPFL Illuminate - Google Chat LMSYS Together AI Meta AI Blog - Yann LeCun on JEPA Meta AI Blog - Video on JEPA Architecture Replicate Home Multimae - EPFL AI Sprint - Introduction to the Multimodal Verse 4M - EPFL (duplicate link) Viggle AI Reddit - The Tradeoff Between Model Size and Effectiveness ArXiv - Paper ID 2403.00504 Transporter Nets Transporter Net with LLM - OpenReview