github-cloudlabsuser-493 / blue-openai

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[NO CODE] Prompt Engineering for data extraction #12

Open github-cloudlabsuser-493 opened 2 months ago

github-cloudlabsuser-493 commented 2 months ago

Utilize generative AI to analyze the content of engineering documents, extracting key concepts, terms, and topics.

github-cloudlabsuser-493 commented 2 months ago

Manager role Request: In a bulleted list of 10 points, identify the main topics and themes discussed

Response:

Request: in 100 words summarize the reliability issues and grounding of boeing 787

Response: The Boeing 787 Dreamliner, launched in 2011, faced reliability issues from the start, leading to its grounding in 2013. The main concern was related to the lithium-ion batteries used in the aircraft, which caused two fires and forced the worldwide fleet to be grounded. Despite significant engineering efforts, the root cause of the battery failure could not be identified initially. Boeing made changes to the battery components and introduced better insulation and a new containment system. The grounding also shed light on other issues, including problems with critical systems and product quality. This incident highlighted the need for improved reliability and safety in Boeing's aircraft development process. [doc1][doc2][doc3]

Engineer role Request: list 10 key words from the documents

Response: Here are 10 key words from the retrieved documents:

  1. Dual Transformer Encoder (DTE)
  2. Sentence similarity models
  3. In-context learning
  4. Sentence representation learning
  5. Training, inference, and evaluation
  6. Pretrained models
  7. Finetuning
  8. Prompt crafting
  9. Data peculiar to airplanes
  10. Boeing 787 Dreamliner

Request: list 5 safety considerations in bullet points

Response:

Request: list 5 different topics covered in the documents

Response: The topics covered in the documents include:

  1. Line Number Registry Number Serial Number Tabulation [doc1]
  2. Introduction to the 737 Flight Crew Operations Manual [doc1]
  3. Page Numbering and Identification in the FCOM [doc2]
  4. Airplane Configuration and Effectivity [doc2]
  5. Reliability Assessment and Challenges in Boeing's Practices [doc3]

Please note that these topics are based on the information extracted from the retrieved documents , [doc2], and [doc3].

Executive role: Request: list 10 key words from the documents

Response: Here are 10 key words from the retrieved documents:

  1. Dual Transformer Encoder (DTE)
  2. Sentence similarity models
  3. In-context learning
  4. Sentence representation learning
  5. Finetuned transformers
  6. Prompt crafting tasks
  7. Finetuning the Model
  8. Mean Time Between Unscheduled Removals (MTBUR)
  9. Li-ion Batteries
  10. Reliability growth

Request: list 5 safety considerations in bullet points

Response:

Request: list 5 different topics covered in the documents

Response: The topics covered in the documents include:

  1. Line numbers, registry numbers, and serial numbers of aircraft .
  2. Flight Crew Operations Manual for Boeing 737 airplanes [doc1][doc2].
  3. Page numbering and identification in the Flight Crew Operations Manual [doc2].
  4. Airplane configuration and effectivity in the Flight Crew Operations Manual [doc2].
  5. Reliability assessment and challenges in Boeing's practices [doc3].