Phi-4-mini vs Gemma 3 vs Qwen3 vs SmolLM3: On-Device SLMs in 2026
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.
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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 production-tested comparison of fixed-size, recursive, semantic, late chunking, and contextual retrieval for RAG — with 2026 benchmarks and the strategy I actually deploy.
A hands-on 2026 comparison of DSPy, TextGrad, and GEPA for automatic prompt optimization — what each one optimizes, the published benchmarks, real production costs, and a decision matrix from running all three on live AI products.
GraphRAG promises smarter retrieval, but it can cost 40x more to index. Here is a production breakdown of GraphRAG vs vector RAG vs hybrid, with real 2026 cost, latency, and a decision matrix.
After shipping streaming for 6 production AI apps, I learned SSE, WebSocket, and polling each win different battles. Here is when to pick which, with real numbers from our Hostinger stack.
Choosing the wrong embedding model is the most expensive mistake in RAG. Here is a side-by-side comparison of OpenAI text-embedding-3-large, Voyage voyage-3-large, Cohere embed-v4, and Jina embeddings-v3 with real pricing math, latency, multilingual, and a clear decision matrix from production RAG experience.
OpenAI bought Promptfoo for $86M in March 2026. Here is how the three leading LLM eval tools — Braintrust, Promptfoo, DeepEval — actually compare for production teams in May 2026.
Hands-on comparison of the three leading document parsers for RAG in 2026, with real pricing, benchmark results from a 12-PDF test, and a decision matrix from shipping all three in production.
Hands-on comparison of Claude Skills and MCP servers from six AI products in production. Token economics, OAuth gaps, and a decision framework.
GPT-5.4 brings a 1M token context window, native computer use, and tunable reasoning effort to the OpenAI API. Here is a practical breakdown from integrating it into two production systems.
Learn how to use Midjourney in 2025 with this practical guide covering setup, prompt writing, styles, parameters, and techniques for better AI art generation.
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.