Prompts are the instructions provided to the AI Model to generate the desired output. The quality and structure of Propmt have significant effects and influence on AI Model response. In Generative AI accurate prompt generation is very important. Designing a Prompt with clear instructions can greatly improve the AI Model output, its also known as Prompt Engineering.
How to Create Effective Prompts
While Creating a new Prompt, it's important to keep some points in mind.
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Instructions: It is very important to provide clear and direct instructions to the AI model. Clear prompts help the AI model understand the context of the requirement.
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External context: If possible, provide some background information about the topic, which will guide the AI model in understanding new concepts and gathering the necessary information.
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User input: User input is the core part of the prompt; the clearer and more concise the input, the better the output will be.
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Output indicator: Requests can come from various sources, such as API, UI, etc., so it's essential to specify the format of the response, such as JSON, list, plain text, etc.
Providing the AI model with examples and use cases in question-and-answer format is highly effective when creating a new prompt. This approach helps the AI model understand the structure and context of the request, resulting in a relevant response.
Token
Tokens are the currency of the AI Model, and the AI Model understands and processes language based on tokens. The Token works like a bridge between the human-readable text or words and the format the AI Model can understand and process. Each text character of Prompt is broken down into small tokens, passed to the AI Model, and, after processing, converted back to text. This process is known as Tokenization.
