Daniel Reyes, YuSMP Group

Daniel Reyes

Principal Engineer (AI/ML), YuSMP Group

Daniel Reyes leads applied AI and machine-learning topics for the YuSMP Group blog — retrieval-augmented generation, fine-tuning, AI agents, model selection, and the cost and ops of running LLMs in production. His articles are the decision frameworks our US and EU clients use before committing to an architecture.

Principal Engineer · 4 articles

Claude vs GPT-4o for product teams 2026 AI / LLM 16 min read
LLM Claude / GPT

Claude vs GPT-4o for product teams in 2026

Engineering comparison for production teams — SWE-bench / GPQA / agentic benchmarks, cost per 1M tokens, prompt caching, EU residency, when to choose which.

2026-05-25 Read article →
AI agents for enterprise 2026 production stack AI / LLM 20 min read
Agents Enterprise

AI agents for enterprise in 2026

Production stack 2026: LangGraph, MCP, Anthropic SDK, Claude 4.6 / GPT-4o, orchestration patterns, cost-per-task economics, human-in-the-loop.

2026-03-28 Read article →
LLM fine-tuning cost benchmark 2026 AI / LLM 18 min read
Fine-tuning Cost

LLM fine-tuning cost benchmark 2026

H100/H200 GPU hours, dataset prep, LoRA vs full FT, RLHF, when to fine-tune vs use RAG — with three worked enterprise examples.

2026-01-29 Read article →
RAG vs fine-tuning decision guide 2026 AI / LLM 17 min read
RAG Architecture

RAG vs fine-tuning in 2026 — what to choose

Decision guide for RAG, fine-tuning, and hybrid in 2026: Claude 4.6 / GPT-4o / Llama 4 / Mistral Large 3 benchmarks, cost per 1M tokens, retrieval stack, eval pipelines.

2025-11-28 Read article →

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