Видео ютуба по тегу Superdatascience Bootcamp

When NOT to Use AI: Lessons from AI Engineering Bootcamp (with Kirill Eremenko)
When NOT to Use AI: Lessons from AI Engineering Bootcamp (with Kirill Eremenko)
What It Takes to Become an AI Engineer (with Kirill Eremenko)
What It Takes to Become an AI Engineer (with Kirill Eremenko)
913: LLM Pre-Training and Post-Training 101 — with Julien Launay
913: LLM Pre-Training and Post-Training 101 — with Julien Launay
AI Engineer in 2025: What Skills Do You Actually Need?
AI Engineer in 2025: What Skills Do You Actually Need?
Speeding Up LLM Training Based on Intrinsic Dimension
Speeding Up LLM Training Based on Intrinsic Dimension
How To Start Building Your Own ML Model?
How To Start Building Your Own ML Model?
The 3 Steps of LLM Training
The 3 Steps of LLM Training
SuperDataScience 2.0 New Platform - Learn Data Science
SuperDataScience 2.0 New Platform - Learn Data Science
917: 8 Steps to Becoming an AI Engineer — with Kirill Eremenko
917: 8 Steps to Becoming an AI Engineer — with Kirill Eremenko
Is User Training Enough to Make AI Safe?
Is User Training Enough to Make AI Safe?
How Reinforcement Learning Teaches AI Through Trial and Error
How Reinforcement Learning Teaches AI Through Trial and Error
The Power of Synthetic Data in Machine Learning, with Frank Hutter
The Power of Synthetic Data in Machine Learning, with Frank Hutter
704: Jon’s “Generative A.I. with LLMs” Hands-on Training — with Jon Krohn (@JonKrohnLearns)
704: Jon’s “Generative A.I. with LLMs” Hands-on Training — with Jon Krohn (@JonKrohnLearns)
India’s First 8-Week AI Engineering Bootcamp: Build, Deploy, and Get Globally Certified! #ai #live
India’s First 8-Week AI Engineering Bootcamp: Build, Deploy, and Get Globally Certified! #ai #live
656: A.I. Talent and the Red-Hot A.I. Skills — with Jaclyn Rice Nelson
656: A.I. Talent and the Red-Hot A.I. Skills — with Jaclyn Rice Nelson
The Importance of Lifelong Learning for Building Better LLMs
The Importance of Lifelong Learning for Building Better LLMs
SDS 466: Good vs. Great Data Scientists — with Jon Krohn
SDS 466: Good vs. Great Data Scientists — with Jon Krohn
Splitting Data Into a Training Set And Test Set
Splitting Data Into a Training Set And Test Set
2 Tips for Training LLMs More Efficiently
2 Tips for Training LLMs More Efficiently