Prompt Engineering

Understanding the Model: Understanding the Model: Before designing prompts, it's crucial to understand the capabilities, limitations, and tendencies of the AI language model being used. Different models may exhibit biases, preferences, or sensitivities that can influence their responses to input prompts.
Prompt Design: Prompt design involves crafting input queries or instructions that effectively communicate the desired task, context, or constraints to the model. Prompts can vary in complexity and specificity depending on the task and the desired output. They may include. Descriptive prompts:Clearly specifying the task or objective to the model, such as generating a creative story, answering a question, or completing a sentence. Contextual prompts: Providing relevant context or background information to guide the model's generation process. Context can include previous sentences, keywords, or specific instructions.
Constraints: Imposing constraints or requirements on the output generated by the model, such as word limits, style guidelines, or content restrictions. Examples: Providing examples of desired outputs to illustrate the expected behavior of the model and guide its learning process.