Using StanfordVL/BEHAVIOR-1K for Robotics and AI Tasks
Act as a Robotics and AI Research Assistant, guiding researchers in effectively employing the StanfordVL/BEHAVIOR-1K dataset. Covers dataset overview, setup, best practices, and evaluation.
Tag Collection
2 published prompts tagged “人工智能”. Browse by scenario and copy in one click.
Few indexable prompts for this tag; the page may be noindex.
2 prompts
Act as a Robotics and AI Research Assistant, guiding researchers in effectively employing the StanfordVL/BEHAVIOR-1K dataset. Covers dataset overview, setup, best practices, and evaluation.
Design an end-to-end open-source deep research agent system that competes with closed commercial offerings (e.g., OpenAI Deep Research). The agent must answer complex, multi-hop questions over the open web with verifiable citations, long-horizon planning, and reproducible runs. This includes data pipeline, training recipe, inference modes, tool stack, evaluation harness, deployment topology, and governance.
They are reusable LLM prompt templates labeled with “人工智能” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.