11 articles matching your search.
A hands-on comparison of the four small language models I tested in production builds during 2026 — benchmarks, memory footprints, licensing traps, and what broke on real phones.
A hands-on comparison of GPTCache, Redis LangCache, Upstash, and Canopy for semantic caching, with real hit rates, costs, and threshold-tuning lessons from production.
Hands-on comparison of the 4 LLM red teaming tools I shipped to production across 6 AI products at Warung Digital — what each catches, what it costs, and the kill-chain stack that found 91 severity-high vulnerabilities in 4 months.
Five rerankers tested for production RAG in 2026 - Cohere 3.5, Voyage 2.5, Jina v3, Mixedbread mxbai-large-v2, and FlashRank. BEIR scores, latency, cost, and the call I made for our aggregator stack.
I tested four production LLM guardrail stacks across six AI products I shipped. Honest comparison of Lakera, NeMo Guardrails, Guardrails AI, and Pillar Security — latency, pricing, and what I actually run in production.
A firsthand comparison of four AI agent orchestration platforms — Inngest, Trigger.dev v3, Hatchet, and Temporal — across pricing, durability, language support, and real-world cost for production workflows in 2026.
After porting a customer-support agent across all three frameworks, here is the honest TypeScript AI framework comparison for production in 2026 with benchmarks, code volume counts, and migration notes from real client work.
Hands-on comparison of LiteLLM, Portkey, and OpenRouter from running six AI products in production. Pricing, observability, guardrails, and the cost-bracket framework I use to pick between them.
After 3 months of building memory into BizChat and ServiceBot, here's the honest breakdown of Mem0, Letta, and Zep — pricing, benchmarks, and which one I'd pick for each use case.
Choosing the right vector database for your RAG pipeline? This hands-on comparison covers Pinecone, Qdrant, Weaviate, and pgvector — with real latency numbers and a clear decision framework for 2026.
Gemma 4 review with real benchmarks. Apache 2.0 license, 89.2% AIME math, 34 tokens/sec on M2 MacBook. How it compares to Llama and what you can build with it.