How to Train Billion-Parameter Models: DeepSpeed ZeRO vs. PyTorch FSDP
Vídeos relacionados
17:38
Choosing Hyperparameters: Learning Rate, Batch Size, Steps, and LR Schedulers
52:57
What I Learned From Implementing LLM Architectures From Scratch (And How to Get Started)
34:30
Deep Observe: Building AI Assisted Observability forConsensus Protocols
14:51
What is LLM Fine-Tuning? Pre-Training vs. Fine-Tuning vs. Prompting
22:42
Yann LeCun Says LLMs Have 2 Years Left…
22:29
Sebastián Ramirez What's New in FastAPI - PyAI Conf 2026
17:38
Dataset Design for LLMs: Domain, Style, and Quality Explained
12:37
Passkeys Explained: Are They Actually Better Than Passwords?
28:31
The Engineering Behind Training a 2 Trillion Parameter LLM
1:02:49
PyTorch in 1 Hour
24:06
Intuition behind Mamba and State Space Models | Enhancing LLMs!
15:16