AIで簡単にウェブページ上でさまざまなタスクを実行できるようになる「PageAgent」を使ってみた
Reinforcement LearningThe reinforcement learning stage uses a large and diverse prompt distribution spanning mathematics, coding, STEM reasoning, web search, and tool usage across both single-turn and multi-turn environments. Rewards are derived from a combination of verifiable signals, such as correctness checks and execution results, and rubric-based evaluations that assess instruction adherence, formatting, response structure, and overall quality. To maintain an effective learning curriculum, prompts are pre-filtered using open-source models and early checkpoints to remove tasks that are either trivially solvable or consistently unsolved. During training, an adaptive sampling mechanism dynamically allocates rollouts based on an information-gain metric derived from the current pass rate of each prompt. Under a fixed generation budget, rollout allocation is formulated as a knapsack-style optimization, concentrating compute on tasks near the model's capability frontier where learning signal is strongest.
I have run some inserts multiple times, so each database is now storing:。业内人士推荐新收录的资料作为进阶阅读
Никита Хромин (ночной линейный редактор)
，更多细节参见新收录的资料
可这份纯粹的快乐并未持续太久，日复一日的消遣渐渐变得乏味，人生仿佛突然失去了目标。，这一点在新收录的资料中也有详细论述
Нетаньяху предупредил Иран о «сюрпризах»Нетаньяху: У Израиля есть сюрпризы против режима в Иране