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Questions and Answers
What is the primary function of a prompt in a foundation model?
What is the primary function of a prompt in a foundation model?
- To generate language-based outputs
- To recognize the type of foundation model
- To process complex queries
- To provide specific instructions guiding the foundation model's behavior (correct)
What is a characteristic of foundation models, such as GPT?
What is a characteristic of foundation models, such as GPT?
- They use prompts to generate language-based outputs (correct)
- They are unable to process complex queries
- They require human input to process prompts
- They can only process simple prompts
What affects the performance of foundation models?
What affects the performance of foundation models?
- The type of task the model is performing
- The complexity of the foundation model
- The amount of data used to train the model
- The type and structure of prompts (correct)
What is the input to output process in a foundation model?
What is the input to output process in a foundation model?
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What can prompts in foundation models range from?
What can prompts in foundation models range from?
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Study Notes
Foundation Model (FM)
- A type of language model that generates responses based on input prompts.
Key Components
- Prompt: an input given to a foundation model to generate a specific output or perform a task.
- Instructions: guide the foundation model on what task to perform.
Examples of Foundation Models
- GPT (Generative Pre-trained Transformer): a model that uses prompts to generate language-based outputs.
Role of Prompts
- Act as specific instructions that guide the behavior and output of foundation models.
- Can range from simple commands to complex queries requiring sophisticated processing.
Input to Output Process
- A foundation model takes a prompt (input) and produces a response (output).
Importance of Prompts
- The type and structure of prompts significantly affect the performance of foundation models.
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