Fine-Tuning vs RAG vs Long-Context: A 2026 Cost/Quality Decision
A 2026 cost and quality decision record for fine-tuning vs RAG vs long-context LLMs: token economics, latency, accuracy trade-offs, and a decision matrix.
Image Segmentation Models: Types, Comparison, and Uses (2026)
A 2026 technical overview of image segmentation models: semantic, instance, and panoptic segmentation, U-Net to SAM 2, with a comparison and applications.
Agentic AI Security: Defeating Prompt Injection in 2026
An applied defense-in-depth pattern for agentic AI security: the indirect prompt injection kill-chain, OWASP LLM/Agentic Top 10, and layered mitigations.
Corrective RAG and Self-RAG: Architecture Patterns (2026)
Corrective RAG (CRAG) and Self-RAG explained for 2026: retrieval grading, query rewriting, self-reflection loops, a reference design, and when each pays off.
MiniMax M3: An Open-Weight LLM Benchmark Analysis (2026)
A 2026 benchmark analysis of MiniMax M3: open-weight coding, 1M-token context, and multimodality — methodology caveats, results, and how to read the numbers.
A Comparative Analysis of State-of-the-Art Object Detection Models
A comparative analysis of state-of-the-art object detection models, updated for 2026: YOLO11/12, RT-DETR, transformer detectors, accuracy, latency, and trade-offs.
LLM Semantic Router: An Inference Routing Pattern
The LLM semantic router pattern in 2026: route requests by intent and cost to the right model, with vLLM Semantic Router, embeddings, and a reference design.
LLM JSON Mode: A Structured-Output Benchmark (2026)
A 2026 benchmark of LLM JSON mode and constrained decoding: throughput, latency, and accuracy across grammar-based methods, with reproducible methodology.
Text-to-SQL LLM Benchmark: Accuracy and Latency (2026)
A 2026 text-to-SQL benchmark methodology: execution accuracy, schema linking, latency, and cost across model tiers - plus where generated SQL goes wrong.
LLM Prompt Caching: Architecture and Economics (2026)
How LLM prompt caching works in 2026: provider-side vs self-hosted KV reuse, cache-aware prompt design, hit-rate economics, and where it quietly breaks.