Source: https://www.udemy.com/course/llm-quantization-and-compression-theoretical-core/What you’ll learn
- Master the core principles of Post-Training Quantization (PTQ).
- Deconstruct the architecture and tradeoffs of Activation-aware Weight Quantization (AWQ).
- Analyze the design patterns governing Low-Rank Adaptation (LoRA).
- Build a deep mental model of Pruning Theory at scale.
Requirements
- No coding experience is required. We focus entirely on system design and core theoretical concepts.
- A basic interest in technology systems, algorithms, or computer science architecture.
- No special software or local development environment setup is needed.
It’s not my rip
Download Links
Password: cms.ddpanda.org
