Author: Phillip Ramos - Page 4

Caching is essential for AI web apps to reduce latency and cut costs. Learn how to start with prompt caching, semantic search, and Redis to make your AI responses faster and cheaper.

Chunking strategies determine how well RAG systems retrieve information from documents. Page-level chunking with 15% overlap delivers the best balance of accuracy and speed for most use cases, but hybrid and adaptive methods are rising fast.

Expert guides on AI infrastructure cabling: InfiniBand, Ethernet, NVLink, and fiber for GPU clusters. Compare bandwidth, latency, connectors, and topologies with practical design tools.

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Contact PCables AI Interconnects for expert advice on AI networking cables, InfiniBand, NVLink, and Ethernet topologies. Get personalized support from Phillip Ramos.

Disaster recovery for large language models requires specialized backups and failover strategies to protect massive model weights, training data, and inference APIs. Learn how to build a resilient AI infrastructure that minimizes downtime and avoids costly outages.

Large language models are transforming localization by understanding context, tone, and culture - not just words. Learn how they outperform traditional translation tools and what it takes to use them safely and effectively.

Multimodal AI understands text, images, audio, and video together-making it far more accurate than text-only systems. Learn how it's transforming healthcare, customer service, and retail with real-world results.

Vibe coding boosts development speed with AI-generated code, but introduces serious security and compliance risks. Learn how to use AI assistants like GitHub Copilot safely without sacrificing control or long-term maintainability.

Small changes in how you phrase a question can drastically alter an AI's response. Learn why prompt sensitivity makes LLMs unpredictable, how it breaks real applications, and proven ways to get consistent, reliable outputs.