Tag: model compression

Quantization-Aware Training for LLMs: How to Keep Accuracy While Shrinking Model Size

Quantization-aware training lets you shrink large language models to 4-bit without losing accuracy. Learn how it works, why it beats traditional methods, and how to use it in 2026.

Privacy and Security Risks of Distilled Large Language Models - What You Must Know

Distilled LLMs are faster and cheaper but inherit the same privacy risks as their larger models. Learn how model compression creates hidden security flaws - and what you must do to protect your data.

Model Compression Economics: How Quantization and Distillation Cut LLM Costs by 90%

Quantization and distillation cut LLM inference costs by up to 95%, enabling affordable AI on edge devices and budget clouds. Learn how these techniques work, when to use them, and what hardware you need.