Home Artificial Intelligence Unlocking the Potential of AI Language Models with Prompt Engineering How Prompt Engineering works? Suggestions and Tricks for Crafting Effective Prompts. Some excellent examples. References:

Unlocking the Potential of AI Language Models with Prompt Engineering How Prompt Engineering works? Suggestions and Tricks for Crafting Effective Prompts. Some excellent examples. References:

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Unlocking the Potential of AI Language Models with Prompt Engineering
How Prompt Engineering works?
Suggestions and Tricks for Crafting Effective Prompts.
Some excellent examples.
References:

Created via Craiyon.ai with the prompt “Advance artificial intelligence robotic reality-based image with prime quality.”

Prompt engineering is a comparatively latest field that has emerged in response to the increasing popularity of language models like ChatGPT, DALL-E, and other similar models. It is an important step in developing AI models like ChatGPT. It involves creating effective and concise prompts that the model uses to generate accurate and relevant responses to user input.

The demand for prompt engineers has been increasing rapidly as increasingly businesses and organizations look to leverage the facility of language models for various tasks, corresponding to chatbots, text generation, and image generation. The role of a prompt engineer requires a robust background in computer science, natural language processing, and machine learning, in addition to the flexibility to think creatively and develop effective prompts.

On this blog, we’ll discuss the importance of prompt engineering and supply examples and suggestions for crafting effective prompts.

The prompts are intended to help the AI model in comprehending the query’s context and producing a response that meets the user’s expectations. To encourage the AI model to provide thorough and instructive responses, the prompts should be temporary, comprehensible, and use open-ended questions.

Prompt engineering includes testing and iterating various prompts to evaluate the calibre of the AI model’s responses so as to construct effective prompts. To evaluate how well the model comprehended the prompt and produced a pertinent response, the tactic entails examining the model’s output. If the response is inaccurate, prompt engineering requires modifying the prompt to offer the model higher direction.

I would like you to act like a mathematician. I’ll type mathematical expressions and you’ll respond with the results of calculating the expression. I would like you to reply only with the ultimate amount and nothing else. Don’t write explanations. When I would like to let you know something in English, I’ll do it by putting the text inside square brackets {like this}. My first expression is: 4+5

I would like you to act as a software developer. I’ll provide some specific details about an internet app requirements, and it is going to be your job to give you an architecture and code for developing secure app with Golang and Angular. My first request is ‘I would like a system that allow users to register and save their vehicle information based on their roles and there shall be admin, user and company roles. I would like the system to make use of JWT for security’.

I would like you to act as a machine learning engineer. I’ll write some machine learning concepts and it is going to be your job to elucidate them in easy-to-understand terms. This might contain providing step-by-step instructions for constructing a model, demonstrating various techniques with visuals, or suggesting online resources for further study. My first suggestion request is “I actually have a dataset without labels. Which machine learning algorithm should I take advantage of?”

I would like you to act as my personal chef. I’ll let you know about my dietary preferences and allergies, and you’ll suggest recipes for me to try. You must only reply with the recipes you recommend, and nothing else. Don’t write explanations. My first request is “I’m a vegetarian and I’m in search of healthy dinner ideas.”

Note: You’ll be able to check further examples on https://prompts.chat/

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