33 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.
An honest, hands-on 2026 comparison of the four web-data tools every RAG team weighs: Firecrawl, Jina Reader, Crawl4AI, and ScrapingBee. Pricing traps, anti-bot strength, and when each one actually wins.
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.
A production-tested comparison of fixed-size, recursive, semantic, late chunking, and contextual retrieval for RAG — with 2026 benchmarks and the strategy I actually deploy.
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.
A production-tested comparison of vLLM, SGLang, TensorRT-LLM, and Ollama for self-hosted LLM serving in 2026 — throughput, cold-start, cost math, and decision matrix from running a 4-product AI backend on a shared H100.
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 working engineer's view of the four libraries that actually solve the malformed-JSON problem in production AI: Instructor, BAML, Outlines, and Pydantic AI. Real benchmark numbers from 1.4M monthly LLM calls.
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 18 months running AI search APIs across seven production aggregator sites, here is when to pick Tavily, Exa, Perplexity Sonar, or Linkup.
I ran the same LoRA fine-tune of Llama 3.1 8B on four platforms with 12,400 training pairs from our SmartExam product. Real costs, training times, inference latency, and the multi-adapter math that decided which one we shipped.
After eight months running Cline, Aider, Continue, and OpenHands across 50+ production projects, here is the honest comparison: real token costs, governance trade-offs, and which agent matches your team's actual workflow.