When crafting prompts for AI or LLMs, you can adjust various inputs or variables to tailor the model's responses. Here's a simple guide to understanding what each of these terms means:
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prompt: The question or statement you provide to the model, essentially telling it what you want to know or do.- Example: "What is the weather today?" vs. "Write a poem about the rain."
- Effect: Directly sets the topic and style of the AI's response.
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max_tokens: Limits how long the AI's response can be, like setting a maximum number of words or sentences it can use to answer.50- Makes the AI provide a concise, often one-sentence reply.150- Allows for a more detailed explanation or story.300- Gives the AI space for in-depth analysis or creative storytelling.
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temperature: Controls the creativity of the AI's responses; a lower value makes the AI more predictable, while a higher value encourages more unique answers.0.0- Generates deterministic, highly predictable responses.0.5- Offers a balance between creativity and reliability.1.0- Maximizes creativity, leading to more varied and unexpected answers.
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top_p: Adjusts the diversity of the AI's responses by limiting the range of words the AI considers; lower values make responses more focused, while higher values allow for more variability.0.1- Results in highly focused and consistent responses.0.5- Strikes a balance between focus and creativity.0.9- Encourages a wide variety of words and ideas in responses.
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frequency_penalty: Discourages the AI from repeating itself, pushing for more varied vocabulary in its responses.0- No penalty for repeating words or phrases.0.5- Moderately prevents repetition.1- Strongly discourages any repetition, leading to more diverse language.
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presence_penalty: Encourages the AI to introduce new concepts and ideas instead of sticking to what has already been mentioned.0- No penalty, allowing the AI to stick to introduced concepts.0.5- Encourages some introduction of new ideas.1- Strongly motivates the AI to keep bringing up new concepts.
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stop_sequences: Tells the AI when to stop, like punctuation marks or specific words that signal the end of a response.[".", "?", "!"]- Stops the response at the end of a sentence.["end"]- Ends the response when "end" is mentioned.["Thank you", "Please"]- Stops the response if either "Thank you" or "Please" is encountered.
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n: Determines the number of responses the AI generates for a single prompt, allowing for multiple answers or ideas.1- The AI provides a single response.3- The AI offers three different takes or answers.5- Generates five varied responses to choose from.
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logprobs: Requests the AI to provide probabilities of its answers, giving insight into how confident it is about different responses.0- Does not provide probability scores.10- Returns the top 10 most likely next tokens.20- Provides detailed probabilities for the top 20 possibilities.
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echo: Makes the AI repeat the prompt in its response, useful for context in conversation or when logging interactions.true- The prompt is included in the AI's response.false- Only the AI's answer is provided, without repeating the prompt.
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user: Identifies who is interacting with the AI, allowing for personalized responses based on user history or preferences.- Example: User IDs or names can be used to tailor responses.
- Effect: Personalizes the interaction, potentially altering the tone or content based on the user's history.
Each of these variables gives you a knob to tweak, making it possible to fine-tune how the AI understands and responds to your prompts, whether you're looking for a straightforward answer, creative ideas, or in-depth explanations.