Unverified50% confidenceFactExact time
The mechanism of in-context learning (ICL) can be decomposed into two stages: task recognition (TR) and task learning (TL).
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11/2/2026
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UnverifiedThrough automatically constructed multi-task demonstration data, together with staged supervision from chain-of-thought to tool-integrated reasoning, RTL-Interact lets the model learn when to invoke checks, how to interpret feedback, and how to make targeted modifications.71% similarUnverifiedIn task priority assessment scenarios, a common engineering practice is to use a two-layer structure of a system prompt plus a task data template, hardcoding business rules into the system prompt and passing dynamic task content in as user messages.64% similarUnverifiedThe course emphasizes that "complete complex tasks with one click" and "get results directly with one command" hold in demo scenarios, but real-world deployment still requires repeated debugging.64% similarUnverifiedThe task_input values are a fixed enum from the vocabulary of task prompts defined during model training (such as <CAPTION>, <OD>, <CAPTION_TO_PHRASE_GROUNDING>, etc.); choosing the wrong one or inventing a task name will not raise an error, and the model will merely degrade to generic description output.64% similarUnverifiedThe task generation layer dynamically generates tasks adapted to the learner's current proficiency level based on the learner profile.64% similar
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