TechnicalAI glossary
Post-training
Everything done to a model after pre-training to make it usable: instruction tuning (showing it thousands of examples of good answers), then reinforcement learning, which shapes its tone and caution. Without this step, a base model simply continues the sentence it is given instead of answering it.
In other words
The internship and in-house training that turn a highly educated graduate into a colleague who actually knows how to answer customers.
Alyriaz articles that mention it
- Why your AI changes version every week
AI models now change version almost every week. Why the pace, what it means for you, and how to keep track.
- Mid-training, final fine-tuning: what happens after pre-training
Between a base model and a usable model, there are several distinct training phases. We explain what each one does and why that is where the value now lies.
- Washington releases its own open-weight model: when open source becomes an instrument of state
On 23 July 2026, the US Department of Energy and Arcee AI announced Genesis-Science-1, an open-weight scientific model backed by a traceable research system. The contribution window closes on 6 August. We break down this strategic shift and what it reveals about the European position.