LLM Quantization and Compression: Theoretical Core

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

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