Post-training and real-world model adaptation
Slides from an introductory lecture, published August 21, 2026, present post-training methods and adaptation questions for agents in changing environments.
Source: Slides sobre métodos de post-training e adaptação no mundo real (kawine.github.io). Text prepared with AI from this source.
What happened and what to do
The introductory lecture slides, published August 21, 2026, present SFT, offline and online methods, reinforcement-learning environments, and distillation. They also raise research questions about anticipating real-world adaptation and expanding human supervision for agents operating in changing environments.
A company deploying agents can turn these questions into an evaluation plan: define changing scenarios, log results and exceptions, set human review points, and track performance over time. One practical implementation is a monitoring pipeline with dashboards and processes for reviewing cases and adjusting the system.
How the consultancy can help
Wendelmaques can diagnose risks and opportunities in agent adaptation, scope a monitoring and human-review implementation, and support its operation on the company's infrastructure.
Next step
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