Learn How to Structure Your Prompts

Friday, February 16, 2024

The quality of AI responses depends largely on the clarity and specificity of the prompt or indication provided by the user. Learn how to structure your prompts.

1. What limitations does a user face in interfaces where cues are provided to the AI for answers?

• Information update: Much of the internal knowledge and information is as of 2021 and may be inaccurate or incomplete. However, there are certain internal tools to keep this knowledge up to date.


• Single-Turn Interaction: You only get one response per turn of conversation.


• Access to additional model tools: There is no access to tools other than those predefined internally.


• Working details: The AI can talk about its capabilities and functionalities at a high level. But it doesn't share details about how exactly those capabilities work.


• Safety: Do not provide information or create content that may cause physical, emotional or financial harm to users, another person or any group of people under any circumstances.


•Character limits: There are some restrictions. The maximum length of an input message (that is, a user message) is 2048 characters. While the maximum length of an output message (i.e. an AI response) is 4096 characters.

2. What is Prompts Engineering?

Prompt Engineering, also known as Prompt Engineering is a field within Artificial Intelligence (AI) that focuses on the design and optimization of instructions or “prompts” that guide AI systems in generating responses and content.


Prompt Engineering involves the process of designing, structuring, and formulating instructions or questions effectively so that the language model can interpret them correctly and provide coherent and useful answers. This includes experimenting with different phrasing and question structures, and fine-tuning the performance and capacity of models for different tasks.


It is a field in constant evolution and optimization, since the way these AI models receive and interpret indications is crucial to their performance and usefulness. Therefore, Prompts Engineering plays a fundamental role in improving the interaction between humans and intelligent machines.

3. What parameters can improve the quality of a prompt ?

• Assume a role in the specific field.

• Locate the correct verb.

• Give examples.

• Provide context or premises.

• Adjust the style.

• Specify the format of the output.

4. What are the effects of asking AI to take a role in responding?

Asking the AI to take a role in responding can have several effects:


• Specificity: When AI is asked to take on a specific role, it can generate more precise and relevant responses. For example, if the AI is asked to act as a medical specialist, the answers will be more focused on the medical field.


• Contextualization: By taking on a role, AI can better understand the context of the conversation and provide more appropriate responses.


• Personalization: Roles can help personalize interaction with the AI. For example, if the AI is asked to act as a math tutor, it can provide detailed explanations and examples related to math.


•Improved interaction: By taking on a role, AI can interact in a way that feels more natural and human to the user.


It is important to remember that although AI can take on different roles, it is still a tool and has no consciousness or emotions of its own.

5. What criteria can the user apply to establish the correct action verb and thus obtain the expected response, output, solution or content from the AI?

To set the correct action verb and obtain the expected response from the AI, the user can consider the following criteria:


• Clarity: The action verb must be clear and precise. It should unambiguously state what the AI is expected to do.


• Concreteness: The action verb must be concrete for the task at hand. For example, if you want the AI to generate a poem, you could use the verb “create” or “generate”.


• Relation: The action verb must be related to the context of the request. For example, if you are asking the AI to perform a mathematical operation, you could use the verb “calculate”.


• Level of detail: Depending on the amount of detail desired in the response, the action verb can be adjusted. For example, if you want a detailed explanation, you could use the verb “explain”.


• Mode of action of the verb: The mode of action of the verb can influence the AI's response. For example, if the verb expresses a static or dynamic event, homogeneous or with a change of state, punctual or durational, etc.


Careful choice of action verb plays a crucial role in getting the expected response, output, solution or content from the AI.

6. What are the 0-shot, one-shot, few-shot prompts?

The terms “0-shot”, “ one-shot ” and “ few-shot ” refer to learning techniques in Artificial Intelligence (AI) that allow models to make predictions with a minimum number of training examples.


• 0-shot: In 0-shot learning, the model makes predictions without any additional training examples. For example, if you ask the AI to add 2+2, this would be a 0-shot prompt because you haven't shown the model any complete examples.


• One-shot: In one-shot learning , a single example or template is provided to the model. For example, if you show the AI an example of a review for a product and then ask it to generate a similar review for another product, this would be a one -shot prompt .


• Few-shot: In few-shot learning , a small number of examples are used, usually between two and five. For example, if you show the AI three examples of product reviews classified as positive or negative, and then ask it to classify a new review, this would be a few -shot prompt.


These techniques are especially useful when little labeled data is available to train the model. However, the choice of technique to use depends on the specific problem and the availability of labeled data.

7. How does providing the context or premises of the problem or situation impact the quality of the response?

Providing context or premises in a given problem or situation has a significant impact on the quality of the response generated by AI.


• More accurate and relevant responses: By providing additional information about the user's question or request, AI can generate more accurate and relevant responses. For example, if someone asks “What’s the weather today?” the context must include the current location and time to provide an accurate answer.


• Consistency: AI-generated responses are strongly influenced by the context provided. This means that the AI considers prior information to produce a coherent and relevant response. The more context you have available, the better you will be able to understand and respond appropriately.


• Improved interaction: Context allows for more fluid and natural communication between the user and the AI. This is especially important in applications like chatbots and virtual assistants, where AI needs to understand context to respond effectively to user requests.


•Effective user experience design: In UX/UI design, understanding how context influences the generation of responses in AI models is essential to creating effective and satisfying user experiences.


For all of the above, context plays a crucial role in generating AI responses, allowing more precise, coherent and relevant responses, and improving the interaction between users and AI.

8. Does adjusting the style lead to better response?

Adjusting the style improves the AI's response in the following ways:


• Customization: Adjusting the style allows you to customize the interaction with the AI. For example, if you adjust the style so that the AI generates more formal or informal responses, you can get responses that better align with your preferences.


• Relevance: Adjusting the style can help you get more relevant responses. For example, if you're looking for a creative answer, you can adjust the style so that the AI generates more imaginative answers.


• Clarity: Adjusting the style can improve the clarity of the answers. For example, if you prefer concise answers, you can adjust the style so that the AI provides more direct answers.


• Improved interaction: Adjusting the style can improve interaction with the AI. For example, if you prefer a friendlier conversational tone, you can adjust the style so that the AI interacts in a friendlier way.


Adjusting the style can be a valuable tool in getting the expected answer, output, solution, or content from the AI.

9. How does asking the AI for the response or output to have a certain format influence?

Asking the AI that the response or output has a certain format influences the results obtained in this way:


• Structure and organization: A specific format can help structure and organize information more effectively. This can make it easier for the user to understand and process information.


• Clarity and precision: A certain format can improve the clarity and precision of the answer. For example, if a response is requested in the form of a list or table, AI can provide information in a more organized and easy-to-follow manner.


• Customization: Requesting a specific format allows you to customize the interaction with the AI. For example, if you prefer visual responses, you can ask the AI to generate a graph or diagram.


• Relevance: A specific format can help obtain answers that are more relevant to the task at hand. For example, if you're working on a programming problem, you can ask AI to generate code.

Conclusions.

It is important to remember that the quality of AI responses depends largely on the clarity and specificity of the prompt or indication provided by the user. Therefore, supplying these parameters can be a valuable tool to obtain the expected answer, output, solution or content from the AI.

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