Blog
Writing.
On domain-specialist language models, post-training, open-weights deployment, and the structural shift in enterprise AI away from frontier APIs.
19 April 20266 min read
Fine-tuning vs RAG: combine them
The framing that a team must pick between fine-tuning an open-weights model and building a RAG pipeline is wrong. The two techniques do different jobs. Here is when you need each, and how they fit together in a real production workflow.
Read ›19 April 20266 min read
Opening Agentsia Labs
Independent benchmarks for the commercial verticals no leaderboard tests. Why we are building a research surface, what it publishes, and the cadence we are promising.
Read ›18 April 20266 min read
Why enterprise AI is moving from frontier LLMs to small language models
The benchmark story is going one way; the deployment story is going another. Here is why the models that matter in production are getting smaller, not larger.
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