Tag archive
When your AI feature breaks at 2am, hope is not a plan. Build incident runbooks for hallucination spikes, provider outages and bad model upgrades — with rollbac
Architecture guide to compliant LLM routing under India's DPDP Act, UK GDPR and EU rules: region-aware gateways, perimeter PII masking, hybrid local-plus-API se
How draft-and-verify accelerates autoregressive LLM inference losslessly — draft models vs Medusa vs EAGLE vs n-gram, and when it is worth enabling for self-hos
Self-hosted proxy, hosted aggregator, or governed control plane? A decision guide for AI builders in India and the UK.
Modal, RunPod, Baseten and Replicate compared for AI inference — cold starts, billing models, cost-per-task estimates and region caveats for India and UK teams,
Prompt-injection defence guards what reaches your agent; sandboxing limits what it can do when it goes wrong. MicroVMs, egress allowlists and least privilege fo
GPU-aware autoscaling for production LLM serving — metrics, scale-to-zero, spot instances, and the KServe/KEDA setup that avoids idle-GPU cost bleed.
A provider-agnostic playbook for serving open-weight LLMs on vLLM — GPU and KV-cache sizing, continuous batching, TTFT/TPOT budgeting, FP8, and autoscaling acro
Start on pgvector, graduate at a named threshold, then choose between Qdrant, Pinecone and Weaviate without over-buying — a builder's guide for India and the UK
How to architect a cascaded STT-to-LLM-to-TTS voice agent that never feels laggy — the 800ms budget, streaming, and interruption handling.
Prompt injection is OWASP's number-one LLM risk in 2026, and tool-using agents made it worse. A practical defence-in-depth playbook for builders shipping agents
How to choose a small model for your RAM budget, understand GGUF quantisation levels, and ship it on-device without wrecking quality. A practical sizing playboo