RAG is not a strategy. Why context quality beats model size
RAG is a cabinet full of documents; strategy is the decision about what is in it, who keeps it in order and who holds the key. Fine-tuning loses to good context 0.50 to 0.88.
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RAG is a cabinet full of documents; strategy is the decision about what is in it, who keeps it in order and who holds the key. Fine-tuning loses to good context 0.50 to 0.88.
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View all →RAG is a cabinet full of documents; strategy is the decision about what is in it, who keeps it in order and who holds the key. Fine-tuning loses to good context 0.50 to 0.88.
For four days we showed what lands on 2 August and why documentation beats good intentions. Today — a complete Art. 4 training programme: three modules, four formats, a role matrix and the document list an authority may demand. You can implement it yourself. If you would rather have it handled before 2 August — prices and dates are at the bottom.
The headline AI Act fine targets prohibited practices that a typical Polish firm does not run. Real exposure looks different: lower tiers, deployer liability, and a chain where missing documentation becomes evidence against you — in a civil dispute, a corporate client questionnaire, a tender. Let’s price it honestly.
Do a quick inventory: website chatbot, generator graphics in social, a newsletter written with GPT. If you have any one of those three — from 2 August 2026 you have at least one disclosure duty. This is the most visible AI Act rule: its absence is visible to the naked eye, on your own site.
This duty has applied since 2 February 2025. For 17 months nobody enforced it — so the market decided it did not exist. On 2 August 2026 supervision starts, and it can ask for documents covering the prior period too. Good news: it is the cheapest duty in the whole AI Act. Bad news: “we ran a webinar once” is not an answer.
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