Professional Courses
Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Categories
Interactive Games
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Typing
Memory
Math
English Adventures
Knowledge
Prompt engineering involves crafting precise inputs to guide AI models in generating desired outputs. Understanding language model functionality is essential for effective prompt creation. Various types of prompts serve different purposes, influencing AI responses through context, role assignment, and examples. This chapter emphasizes both structured thinking and creativity in formulating effective prompts.
Sections
References
Untitled document (7).pdfClass Notes
Memorization
What we have learnt
- Prompt engineering is the s...
- Different types of prompts ...
- Understanding the component...
Final Test
Revision Tests
What we have learnt
- Prompt engineering is the skill of crafting precise inputs for AI language models.
- Different types of prompts include informational, instructional, role-based, contextual, and few-shot prompts.
- Understanding the components of an effective prompt, such as role and constraints, is crucial for successful outcomes.
Key Concepts
-
Term: Prompt Engineering
Definition: The skill of crafting precise inputs (prompts) to guide AI language models to produce desired outputs.
-
Term: Language Model
Definition: An AI model trained on large datasets to predict text completions based on input.
-
Term: Token
Definition: A chunk of text (word or sub-word) that models process for prediction.
-
Term: Context Window
Definition: The amount of text or conversation that the model can remember during interaction.
-
Term: Temperature
Definition: A setting that controls the creativity of the model's output.
-
Term: Prompt Iteration
Definition: The process of testing and refining prompts to achieve better outputs.