Prompt Engineering fundamental course | Anatomy of a Prompt by Diljeet Singh | Learn Smarter
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Anatomy of a Prompt

The chapter outlines the anatomy of a well-crafted prompt essential for effective communication with language models. Key components include instructions, context, input data, output formats, and tone, each contributing to the model's responses. Prompting strategies and best practices are discussed, focusing on clarity, specificity, and the effects of temperature settings on outputs, thus guiding users to enhance their prompting skills.

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Sections

  • 3

    Anatomy Of A Prompt

    This section covers the key components that make up a prompt, which is essential for effectively communicating with language models to receive desired responses.

    Learning Practice

  • 3.1

    What Is A Prompt?

    A prompt is the input given to a language model to generate specific responses.

    Learning Practice

  • 3.2

    Core Components Of A Prompt

    This section outlines the essential elements that constitute a well-structured prompt for AI language models.

    Learning Practice

  • 3.3

    Examples Of Each Component

    This section provides clear examples of the key components that make up a prompt, demonstrating how each part influences the responses generated by a language model.

    Learning Practice

  • 3.4

    Prompting Patterns

    This section introduces various patterns of prompts that can be used to elicit different types of responses from language models.

    Learning Practice

  • 3.5

    Prompt Length And Clarity

    This section emphasizes the importance of concise and clear prompts in guiding language model responses.

    Learning Practice

  • 3.6

    Temperature & Prompting

    This section explains how the temperature settings of a language model affect its responses and the context in which to use different settings for optimal results.

    Learning Practice

  • 3.7

    Prompt Failures: Why Results Vary

    This section explores common causes of prompt failures that lead to varying responses from AI models, focusing on vague instructions, missing context, and contradictory commands.

    Learning Practice

  • 3.8

    Best Practices

    Best practices in prompt creation ensure better AI responses by focusing on clarity and structure.

    Learning Practice

  • 3.9

    Sample Prompt Breakdown

    This section dissects a sample prompt, detailing its core components and clarifying how each element contributes to the model's response.

    Learning Practice

  • 3.10

    Summary

    This chapter emphasizes the significance of crafting effective prompts for language models, detailing their components, variations, and related best practices.

    Learning Practice

References

Chapter 3_ Anatomy of a Prompt.pdf

Class Notes

Memorization

What we have learnt

  • Prompts are essential for e...
  • A well-structured prompt in...
  • Temperature settings influe...

Final Test

Revision Tests