Tag: 4-bit quantization

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

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.

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Private Prompt Templates: How to Prevent Inference-Time Data Leakage in AI Systems

Private Prompt Templates: How to Prevent Inference-Time Data Leakage in AI Systems

Aug, 10 2025

Fine-Tuned Models for Niche Stacks: When Specialization Beats General LLMs

Fine-Tuned Models for Niche Stacks: When Specialization Beats General LLMs

Jul, 5 2025

Visualization Techniques for Large Language Model Evaluation Results

Visualization Techniques for Large Language Model Evaluation Results

Dec, 24 2025

Knowledge Sharing for Vibe-Coded Projects: Internal Wikis and Demos That Actually Work

Knowledge Sharing for Vibe-Coded Projects: Internal Wikis and Demos That Actually Work

Dec, 28 2025

Key Components of Large Language Models: Embeddings, Attention, and Feedforward Networks Explained

Key Components of Large Language Models: Embeddings, Attention, and Feedforward Networks Explained

Sep, 1 2025

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