Practical Guide to Lite Guardrails for LLM Apps Implement lightweight guardrails that reduce harmful outputs, keep user intent intact, and integrate smooth

Memory and IO Troubleshooting for Large Language Model Deployments Practical steps to diagnose and fix RAM, VRAM, and disk IO bottlenecks so your LLMs run

How to Estimate Costs for Cloud API vs Local LLM Hosting Compare cloud API and local LLM hosting costs, identify hidden expenses, and pick the right approa

How to Add Image Search to Your Product Catalog Add image search to your catalog to boost discoverability and conversion. Follow this practical guide to pl

Build an Offline Private Voice Assistant: ASR, TTS, Wake Word, and Local NLU Create a private, offline voice assistant with open-source ASR/TTS, local NLU,

Edge AI on Raspberry Pi: When and How to Deploy Efficient On-Device Intelligence Decide if Edge AI on Raspberry Pi fits your project, pick hardware and sof

Practical Strategies to Improve High-Throughput API Performance Boost API throughput while reducing latency and cost: clear goals, batching, caching, and m

Privacy-First LLMs: Designing On-Device and Hybrid Architectures Build useful LLM features without exposing sensitive data — practical architecture choices

Model Quantization Explained: Why It Matters and How to Do It Right Reduce model size and latency with safe quantization—learn trade-offs, methods, validat

Choosing Hardware for On-Device Inference: GPU, CPU, or NPU? Decide the right on-device inference hardware to meet latency, throughput, and power goals — p