Tag: quantized LLMs

Learn how calibration and outlier handling keep quantized LLMs accurate when compressed to 4-bit. Discover which techniques work best for speed, memory, and reliability in real-world deployments.

Recent-posts

GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading

GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading

Dec, 29 2025

Pattern Libraries for AI: How Reusable Templates Improve Vibe Coding

Pattern Libraries for AI: How Reusable Templates Improve Vibe Coding

Jan, 8 2026

Agentic Generative AI: How Autonomous Systems Are Taking Over Complex Workflows

Agentic Generative AI: How Autonomous Systems Are Taking Over Complex Workflows

Aug, 3 2025

Allocating LLM Costs Across Teams: Chargeback Models That Actually Work

Allocating LLM Costs Across Teams: Chargeback Models That Actually Work

Jul, 26 2025

Long-Context AI Explained: Rotary Embeddings, ALiBi & Memory Mechanisms

Long-Context AI Explained: Rotary Embeddings, ALiBi & Memory Mechanisms

Feb, 4 2026