
AI Portfolio Podcast
Technical details and strategies from top AI and Business Experts
If you are a practitioner or data leader, you will gain valuable insights from the show by discovering great companies to join and learning how experts navigate their careers.
The goal of the show is to expand your sense of what is possible with machine learning. Share the show and share your feedback.
Keep Studying!
AI Portfolio Podcast
Mike Tamir: LLM for Teams, RAG, Leadership and Enterprise vs Open Source LLMs - AI Portfolio
In this episode, Mike shares his extensive expertise in building and leading high-performance machine learning teams, delivering cutting-edge data products, and leveraging state-of-the-art technologies for various real-world applications. His contributions in text comprehension using large language models (LLMs), image recognition, Graph Neural Networks (GNNs), learned representation-based recommender systems, targeted advertising, time series forecasting, user understanding, and customer analytics are nothing short of awe-inspiring.
📲 Mike Tamir Socials:
LinkedIn: https://www.linkedin.com/in/miketamir/
Twitter: https://twitter.com/MikeTamir
📲 Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
📗 Chapters
00:00 Inro
02:29 Shift in LLM Paradigm
08:50 First Impression of ChatGPT
15:00 LLM Fad
21:00 Mastering LLM
26:48 Test & Evaluation
35:08 Hallucinations
37:40 Retrieval-Augmented Generation (RAG)
40:41 Large vs Small Model & Enterprise vs Open Source Models
52:44 LLM Strategy for Teams
58:01 Evolution of Instructions tailored towards agent
59:52 Prediction Hypothesis
01:01:52 Startup
01:09:50 Advice for VCs
01:13:12 Differences in Data Science Culture
01:16:38 Approach for Leading Teams
01:18:18 Reading
01:19:20 Succeeding as a Team
01:21:07 Small vs Big Teams
01:23:06 What makes you really good at your job?
01:25:52 PhD and Teaching
01:31:22 Research Papers
01:32:35 Career Optimization Function
01:34:45 Book Recommendations
01:37:15 Rapid Round