Machine Learning Youtuber Umar Jamil, His channel has some of the top technical explanations on technical topics related to Gen AI with over 50k followers.

Follow/Connect:
Umar LinkedIn: https://www.linkedin.com/in/ujamil/
Mark Linkedin: https://www.linkedin.com/in/markmoyou/

Chapters:
00:00 Intro
01:54 Umar's YouTube Channel
06:10 Umar's Data Science Journey
11:30 Show Your Work
16:35 Pre-Training
20:19 Research Without a PhD
22:22 Lessons Learned as a Research Scientist
23:41 Advice for Technical Creators
25:30 Building
30:17 Hardest Challenges
43:58 Research Papers
49:41 How Language Models Learn
50:48 Coding IDEs
53:19 Choosing a Model
54:50 AI Coding Editors
55:55 Career Optimization Function
57:09 Changing Jobs and Approaching the Job Market
01:00:30 Book Recommendations
01:02:37 Why We Struggle to Finish Things
01:05:15 Career Advice
01:07:26 Coding the Transformer
01:15:27 CLIP Models
01:17:06 Diffusion Models
01:18:22 Autoencoder
01:20:23 Segment Anything Model
01:21:30 Direct Preference Optimization
01:23:30 Multimodal Models
01:26:09 Test-Time Compute
01:27:05 Rapid Round

Maxime Labonne, Co-author of the LLM Engineers Handbook, creator of the LLM course on github with over 40k stars, and author of Hands on Graph Neural Networks.

Follow/Connect:
Maxime LinkedIn:https://www.linkedin.com/in/maxime-labonne/
Mark Linkedin: https://www.linkedin.com/in/markmoyou/

Chapters:

📌 00:00 – Intro
📚 01:51 – Maxime: Books & Courses
🤖 07:30 – AI Scientist vs. AI Engineer
🚀 09:05 – Path to Becoming an AI Expert
🎓 11:13 – Do You Need a Degree?
⏳ 13:01 – How Long Does It Take to Become an AI Scientist?
👨‍🔬 15:58 – Individual Contributor Role as an LLM Scientist
🧠 26:04 – Understanding LLM Personality
🎯 30:07 – Objective Functions in LLMs
🆕 34:08 – Emerging AI Models
📄 40:51 – How to Read Research Papers Effectively
🗺 45:26 – Roadmap to Becoming an LLM Scientist (Key Section ⭐)
🔎 54:15 – Deep Dive: Understanding the Attention Mechanism
🖼 01:15:33 – Roadmap for a Multi-Modal AI Scientist
📊 01:17:12 – Optimizing Your AI Career Path
💼 01:19:38 – AI Job Market Insights
📖 01:21:50 – Must-Read Books for AI Enthusiasts
💡 01:22:41 – Expert Career Advice
⚡ 01:24:07 – Rapid-Fire Round

Tomás Hernando Kofman of Not Diamond, discussing about gen ai model routing.

Follow/Connect:
Tomas LinkedIn:https://www.linkedin.com/in/tomashk/
Mark Linkedin: https://www.linkedin.com/in/markmoyou/

Chapters:
00:00 Intro
01:56 Not Diamond
08:36 Router Problem
13:33 Time to Build v1
15:49 Human Categories
19:01 System Prompt
27:33 Prompt Drift
30:14 Guardrails
35:48 Model Spectrum
42:23 Caching
45:50 Training Router
54:44 Cost and Latency
01:01:22 Routing Across Agents
01:03:38 Prompt Pasting
01:09:17 Routing for Multimodal Models
01:12:08 Startup
01:21:20 Building Companies in the Gen AI Era
01:27:00 Career Optimization Function
01:29:33 Career Advice
01:32:00 Rapid Round