
Unlocking Creativity with Azure OpenAI
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Prompt engineering is a method used to guide the responses of a large language model (LLM) toward specific outcomes without modifying the model’s weights or parameters. Instead, it relies solely on carefully crafted in-context prompts to achieve desired results. Essentially, it involves effectively communicating with AI to extract the information or behavior you want.
This technique has become essential for enhancing the capabilities of both LLMs and vision-language models (VLMs). By using task-specific instructions, known as prompts, it improves model performance without altering the core parameters of the model. Prompts enable the seamless integration of pretrained models into various downstream tasks by driving the model’s behavior through the provided prompts.
Prompt engineering is a relatively new field focused on developing and optimizing prompts to utilize language models efficiently for a wide array of applications and research...