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