Yannic Kilcher, a leading ML YouTuber and DeepJudge CTO, teams up with Jon Krohn this week to delve into the open-source ML community, the technology powering Yannic’s Swiss-based startup, and the significant implications of adversarial examples in ML. Tune in as they also unpack Yannic’s approach to tracking ML research, future AI prospects and his startup challenges.
This episode is brought to you by Gurobi (https://gurobi.com/sds), the Decision Intelligence Leader, and by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• About OpenAssistant project [03:39]
• Alignment issues in open-source vs closed-source [08:36]
• Alternative formulas vital for crafting superior LLMs [20:29]
• Strategies to foster open-source LLM ecosystems [27:07]
• Yannic’s pioneering work in legal document processing at DeepJudge [31:31]
• Comprehensive overview of adversarial examples [1:04:02]
• The future AI’s landscape [1:18:08]
• Startup challenges [1:25:35]
Additional materials: www.superdatascience.com/733
Source by Super Data Science: ML & AI Podcast with Jon Krohn
