Skip to content

Latest commit

 

History

History
27 lines (22 loc) · 2.02 KB

advanced-logic-and-reasoning.md

File metadata and controls

27 lines (22 loc) · 2.02 KB

Advanced Logic and Reasoning in Prompt Engineering

Advanced Logic and Reasoning in prompt engineering involves the use of sophisticated logical and analytical techniques to enhance the depth and accuracy of the reports generated. This approach employs critical thinking, hypothesis testing, and evidence-based analysis to ensure that the content is logical, coherent, and well-supported by data.

Example: Ethical Implications of AI

For a report on "Ethical implications of AI," advanced reasoning is used to weigh different ethical considerations, analyze case studies, and provide balanced arguments. It critically examines various perspectives, ensuring a thorough and unbiased analysis.

JSON Example for Advanced Logic and Reasoning

{
  "query": "Ethical implications of AI",
  "primary_prompt": "Generate a detailed report on the ethical implications of AI, including considerations such as privacy, bias, and autonomy. The report should critically examine various perspectives and provide balanced arguments.",
  "subqueries_prompt": "Generate 2 interesting, diverse search queries that would be useful for generating a detailed report on the ethical implications of AI. These subqueries should cover various aspects of the topic, including privacy, bias, and autonomy.",
  "report_prompt": "Write a comprehensive and professional in English, five-paragraph, 200-word research report about the ethical implications of AI based on the provided information. Include citations in the text using footnote notation ([citation #]), for example [2]. First provide the report, followed by a single `References` section that only lists the URLs (and their published date) used, in the format [#] <url>. For the published date, only include the month and year. Reset the citations index and ignore the order of citations in the provided information.",
  "start_published_date": "2024-01-01",
  "end_published_date": "2024-06-03",
  "highlights": {
    "num_sentences": 5
  },
  "text": {
    "include_html_tags": false
  },
  "num_subqueries": 5
}