{
  "source_file": "0930",
  "source_platform": "技术平台",
  "author": "MarkTechPost",
  "title_listed": "An Overview of Prompt Engineering",
  "keywords": "Prompt,提示工程,综述",
  "domain": "大模型算法",
  "content_type": "深度技术解析",
  "is_paid_flag": "否",
  "url": "https://www.marktechpost.com/2023/05/13/prompt-engineering/",
  "publish_date": "2023-05",
  "corpus_stage": "预训练/SFT",
  "notes": "提示工程综述",
  "id": "c4048df54c66",
  "collected_at": "2026-10-02T17:29:11",
  "title": "Page not found - MarkTechPost",
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released Strands Decider 2B, an Apache-2.0 decision model built on Qwen3.5-2B-Base. It returns choices, yes/no probabilities and scores with calibrated confidence in one forward pass, never text. 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AI](https://www.marktechpost.com/category/editors-pick/agentic-ai/)October 2, 2026\n[](https://www.marktechpost.com/2026/10/02/datalab-introduces-omniextractbench-to-fix-bias-and-opacity-in-extraction-benchmarks/ \"Datalab Introduces OmniExtractBench to Fix Bias and Opacity in Extraction Benchmarks\")\nContent-based row matching, 6 per-value verdicts and a null rule make OmniExtractBench an extraction benchmark anyone can audit.\n### [AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms](https://www.marktechpost.com/2026/10/01/aws-strands-labs-releases-strands-decider-2b/ \"AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms\")\n[Agentic AI](https://www.marktechpost.com/category/editors-pick/agentic-ai/)October 1, 2026\n[](https://www.marktechpost.com/2026/10/01/aws-strands-labs-releases-strands-decider-2b/ \"AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms\")\nAWS's Strands Agents team released Strands Decider 2B, an Apache-2.0 decision model built on Qwen3.5-2B-Base. It returns choices, yes/no probabilities and scores with calibrated confidence in one forward pass, never text. 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