Author: Phillip Ramos - Page 4

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.

Fine-tuned LLMs outperform general models in niche tasks like legal analysis, medical coding, and compliance. Learn how specialization beats scale, when to use QLoRA, and why hybrid RAG systems are the future.

Generative AI is transforming how businesses create product descriptions, emails, and social posts-cutting production time by up to 70% while scaling personalization. Learn how to use it effectively without losing brand voice or authenticity.

Recent-posts

Why Multimodality Is the Future of Generative AI Beyond Text-Only Systems

Why Multimodality Is the Future of Generative AI Beyond Text-Only Systems

Nov, 15 2025

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

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

Aug, 1 2025

How Training Duration and Token Counts Affect LLM Generalization

How Training Duration and Token Counts Affect LLM Generalization

Dec, 17 2025

Enterprise Adoption, Governance, and Risk Management for Vibe Coding

Enterprise Adoption, Governance, and Risk Management for Vibe Coding

Dec, 16 2025

Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything

Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything

Oct, 12 2025