16 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.
I compared FLUX.1, Recraft V3, Ideogram 3.0, DALL-E 3 and Stable Image Ultra across 7 production sites generating 180 images/day. Real pricing, real latency, and what I actually run.
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.
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 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.
I ran E2B, Modal Sandboxes, and Daytona in production across 380K agent invocations at Warung Digital. Here is what I learned about cold starts, isolation, GPU support, and which one to pick for your AI agent code execution stack in 2026.
I tested Browser-Use, Stagehand, and Playwright MCP across the daily import pipelines for our 7 aggregator blogs over 30 days. Here is the cost, latency, and breakage data — plus which stack survived production.
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.
Anthropic released Claude Opus 4.7 on April 16, 2026. This complete guide covers the new task budget system, xhigh effort level, 3.75MP high-resolution vision, updated benchmarks, and a side-by-side comparison with GPT-5.4.
Gemini 2.5 Flash Image vs GPT-Image-1 with real pricing math, latency notes, and workflow tradeoffs for teams doing bulk generation or conversational edits.
Gemini 2.5 Flash Image vs GPT-Image-1 with real pricing math, latency notes, and workflow tradeoffs for teams doing bulk generation or conversational edits.