Tag: outlier handling

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

Procuring AI Coding as a Service: Contracts and SLAs for Government Agencies

Procuring AI Coding as a Service: Contracts and SLAs for Government Agencies

Aug, 28 2025

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Jul, 6 2025

Latency Optimization for Large Language Models: Streaming, Batching, and Caching

Latency Optimization for Large Language Models: Streaming, Batching, and Caching

Aug, 1 2025

Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

Aug, 12 2025

Chunking Strategies That Improve Retrieval Quality for Large Language Model RAG

Chunking Strategies That Improve Retrieval Quality for Large Language Model RAG

Dec, 14 2025