Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Cheapest LLM stack for structured data extraction (json outputs) — a May 2026 comparison grounded in current model prices, benchmarks, and production patterns.
Open-source vs closed-source LLMs for structured data extraction (json outputs) — a May 2026 comparison grounded in current model prices, benchmarks, and producti...
DeepSeek V4 vs Llama 4 vs Qwen 3.5 vs Mistral Large 3 for structured data extraction (json outputs) — a May 2026 comparison grounded in current model prices, benc...
GPT-5.5 vs Claude Opus 4.7 vs Gemini 3.1 Pro for structured data extraction (json outputs) — a May 2026 comparison grounded in current model prices, benchmarks, a...
Fine-tune vs prompt vs RAG for long-context document q&a — a May 2026 comparison grounded in current model prices, benchmarks, and production patterns.
Reasoning models (Claude Mythos, o3, Opus 4.7, DeepSeek V4-Pro) for long-context document q&a — a May 2026 comparison grounded in current model prices, benchmarks...
Small language models (Phi-4-mini, Gemma 3, Llama 3.3) for long-context document q&a — a May 2026 comparison grounded in current model prices, benchmarks, and pro...
Multi-LLM router (LiteLLM / Portkey / OpenRouter) for long-context document q&a — a May 2026 comparison grounded in current model prices, benchmarks, and producti...
Self-hosted on-prem stack for long-context document q&a — a May 2026 comparison grounded in current model prices, benchmarks, and production patterns.
