Prompt Engineering 101: Summarizing, Extraction, and Rewriting | Summary and Q&A

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July 10, 2022
by
David Shapiro
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Prompt Engineering 101: Summarizing, Extraction, and Rewriting

TL;DR

Learn how to use prompt engineering with Text Davinci O2, an instruct series model, for tasks like summarization and rewriting.

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Key Insights

  • 🥠 Text Davinci O2 is one of the instruct series models fine-tuned for instruction following.
  • ❓ Prompt engineering with imperative verbs and temperature adjustments can influence the output.
  • 🎭 Different tasks like summarization, rewriting, and named entity recognition can be performed using prompt engineering.
  • ❓ Adjectives in the instructions can further modify the output for desired characteristics.
  • ❓ Text Davinci O2's deterministic nature and fine-tuning make it suitable for consistent outputs.
  • ❓ It is essential to understand the different prompts and parameters when using prompt engineering.
  • 👶 Prompt engineering can be used to rewrite articles for specific target audiences, like children or speakers of simplified English.

Transcript

Read and summarize the transcript of this video on Glasp Reader (beta).

Questions & Answers

Q: What is the difference between Davinci and Text Davinci O2?

Davinci is the original heavy-duty model, while Text Davinci O2 is one of the instruct series models specifically fine-tuned for instruction following.

Q: How do you use prompt engineering for summarization?

To prompt the model for summarization, use an imperative verb like "summarize" and specify the article. Adjusting the temperature to zero ensures deterministic output.

Q: Can prompt engineering change the length of the summary?

Yes, by modifying the instructions with adjectives like "concise," the output length can be controlled. For instance, "concise summary" prompts a shorter summary.

Q: Is Text Davinci O2's output consistent?

As a fine-tuned model, Text Davinci O2's output is generally more consistent than ordinary Davinci. However, it can still provide varying results depending on temperature adjustments.

Summary & Key Takeaways

  • The video introduces Text Davinci O2, an instruct series model fine-tuned for instruction following.

  • Prompt engineering is demonstrated with tasks like summarization and paraphrasing using imperative verbs and temperature adjustments.

  • The video also showcases other tasks like classification, named entity recognition, and rewriting for different target audiences.

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