A deep dive on Moonshot AI Kimi K2: the Mixture-of-Experts architecture, training recipe, agentic and coding benchmarks, open weights, license, and how it compares to peers.
A semantic caching architecture for LLM apps: exact vs embedding-similarity cache tiers, thresholds, invalidation, eviction, and the cost/latency math behind GPTCache-class systems.
TwinOps applies DevOps discipline to digital twins: model versioning, continuous state sync, validation gates, drift detection, and closed-loop control across the twin lifecycle.
How card tokenization shrinks PCI DSS scope: vault design, format-preserving vs random tokens, network tokens, detokenization flows, and key management for payment systems.
Kubernetes in-place pod resize (v1.33 GA) changes CPU/memory without restarts. How it works, VPA integration, resize policies, cost impact, and production gotchas.
How to run small language models (SLMs) on-device: model sizing, distillation, quantization, NPU acceleration, memory budgets, and when a 1-8B SLM beats a cloud LLM.
Google Gemini 3.5 Pro explained: the 2M-token context flagship, architecture, training, benchmark scores, pricing, and how it compares to GPT-5.6 and Claude.
Airflow vs Dagster vs Prefect compared: execution model, asset vs task orchestration, backfills, dynamic pipelines, observability, and a decision matrix for 2026.