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articles/ai-services/openai/concepts/gpt-4-v-prompt-engineering.md

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@@ -19,9 +19,9 @@ To unlock the full potential of GPT-4 Turbo with Vision, it's essential to tailo
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- **Task-oriented prompts:** Focusing on a specific task helps the model to develop the output while taking that perspective into consideration.
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- **Handling refusals:** When the model indicates an inability to perform a task, refining the prompt can be an effective solution. More specific prompts can guide the model towards a clearer understanding and better execution of the task. Some tips to keep in mind: <br>
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- Request explanations for generated responses to enhance transparency in the model's output <br>
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- If using a single-image prompt, place the image before the text <br>
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- Ask the model to describe the image in details first and complete your specific task from the description
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- Request explanations for generated responses to enhance transparency in the model's output <br>
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- If using a single-image prompt, place the image before the text <br>
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- Ask the model to describe the image in details first and complete your specific task from the description
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- **Adding examples:** Add examples that represent the type of responses you're looking for
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- **Try prompt tuning:** Try prompt tuning techniques such as Chain of Thought, a technique where you describe a sequence of steps leading to an outcome, therefore communicating a sort of “chain of thought” or thought process for the model to replicate.

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