#Prompt Engineering...

1 messages · Page 1 of 1 (latest)

wicked oxide
#

Hi @tranquil copper what makes certain prompts more effective in eliciting desired responses from OpenAI models, and how do system prompts differ in this regard? Is there a notable difference in prompt effectiveness between various OpenAI models?

Can you provide some specific examples of good and bad prompts ?

tranquil copperBOT
#

Hi @wicked oxide. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

#

Prompt engineering is a crucial aspect of working with OpenAI models like GPT-3 and Codex. It involves crafting the input prompts in a way that they align better with the tasks at hand and elicit the desired responses from the models. The effectiveness of prompts can vary based on the specific model and the task.

Here are some general strategies for improving the effectiveness of your prompts:

  1. Give more explicit instructions: If you want the output to be a comma-separated list, ask it to return a comma-separated list. If you want it to say "I don't know" when it doesn't know the answer, tell it 'Say "I don't know" if you do not know the answer.'[^1^]

  2. Supply better examples: If you're demonstrating examples in your prompt, make sure that your examples are diverse and high quality[^1^].

  3. Ask the model to answer as if it was an expert: Explicitly asking the model to produce high-quality output or output as if it was written by an expert can induce the model to give higher quality answers that it thinks an expert would write[^1^].

  4. Prompt the model to write down the series of steps explaining its reasoning: Prompting the model to give an explanation of its reasoning before its final answer can increase the likelihood that its final answer is consistent and correct[^1^].

In terms of system prompts, they are typically more structured and may include specific instructions or constraints that guide the model's responses. They may also include examples that demonstrate the desired format or content of the response.

As for the difference in prompt effectiveness between various OpenAI models, it's generally recommended to try a more capable model if a task fails with a less capable one[^5^]. However, the specific differences in prompt effectiveness would depend on the models and tasks in question.

#

For more detailed guidance on prompt engineering and best practices using the OpenAI API, you can refer to OpenAI's guide on prompt engineering[^2^][^5^].

^1^]: [How to work with large language models (https://github.com/openai/openai-cookbook/blob/main/articles/how_to_work_with_large_language_models.md)
^2^]: [Best practices for prompt engineering with OpenAI API (https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
^5^]: [Prompt engineering (https://platform.openai.com/docs/guides/prompt-engineering)

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wicked oxide kapa.ai is still learning and improving, please let us know how it did by reacting below

wicked oxide
#

Thanks @tranquil copper. I want you to create a list of 10 good, effective example prompts and 10 non effective prompts ?

tranquil copperBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Sure, here are some examples of effective and less effective prompts based on the guidelines provided in the extracts:

Effective Prompts:

  1. "Write a short inspiring poem about OpenAI, focusing on the recent DALL-E product launch (DALL-E is a text to image ML model) in the style of a famous poet."[^2^]
  2. "Summarize the text below as a bullet point list of the most important points. Text: """ {text input here} """."[^2^]
  3. "Extract the name of the author from the quotation below. “Some humans theorize that intelligent species go extinct before they can expand into outer space. If they're correct, then the hush of the night sky is the silence of the graveyard.” ― Ted Chiang, Exhalation."[^6^]
  4. "Land the drone at the home base."[^7^]
  5. "Take off the drone to 50 meters."[^7^]
  6. "Change speed to 15 kilometers per hour."[^7^]
  7. "Write a brief, expert-level analysis of the current trends in artificial intelligence."
  8. "Translate the following English text to French in a professional tone: {text input here}"
  9. "Generate a list of potential risks and benefits of using AI in healthcare."
  10. "Write a step-by-step guide on how to use OpenAI's GPT-3 model for text generation."

Less Effective Prompts:

  1. "Write a poem about OpenAI."[^2^]
  2. "Summarize the text below as a bullet point list of the most important points. {text input here}"[^2^]
  3. "Turn into an elephant!"[^7^]
  4. "Play pre-recorded audio message."[^7^]
  5. "Initiate live-streaming on social media."[^7^]
  6. "Scan environment for heat signatures."[^7^]
  7. "Enable stealth mode."[^7^]
  8. "Change drone's paint job color."[^7^]
  9. "Translate this: {text input here}"
  10. "Tell me about AI."
#

The effective prompts are more explicit, detailed, and specific about the desired output, while the less effective prompts are vague, lack context, or ask for something that the model cannot do.

^2^]: [Best practices for prompt engineering with OpenAI API (https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
^6^]: [How to work with large language models (https://github.com/openai/openai-cookbook/blob/main/articles/how_to_work_with_large_language_models.md)
^7^]: [Fine tuning for function calling (https://github.com/openai/openai-cookbook/blob/main/examples/Fine_tuning_for_function_calling.ipynb)

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wicked oxide kapa.ai is still learning and improving, please let us know how it did by reacting below

wicked oxide
#

Thanks @tranquil copper. I am looking to create a simple comic book using Dalle, consisting of 12 images that maintain a general art style with slight variations. Could you provide 10 highly detailed prompts to help generate these images effectively, ensuring they adhere to a coherent visual theme throughout the series?

tranquil copperBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Sure, here are 10 detailed prompts that you could use to generate a coherent series of images for your comic book using DALL·E. Let's assume the theme of your comic book is a space adventure:

  1. "A vibrant comic-style image of a spaceship taking off from a futuristic city on Earth, with skyscrapers towering in the background and crowds of people watching in awe."
  2. "A comic-style image of the interior of a spaceship, showcasing a high-tech control panel with glowing buttons and screens, and a pilot in a futuristic suit at the helm."
  3. "A comic-style image of the spaceship traveling at light speed, stars streaking past it, creating a tunnel of light around the ship."
  4. "A comic-style image of the spaceship approaching a mysterious alien planet, bathed in the light of a distant star, with strange, colorful vegetation visible on the surface."
  5. "A comic-style image of the spaceship landing on the alien planet, with the pilot stepping out onto the alien soil, looking at the strange, colorful vegetation and towering alien structures in the distance."
  6. "A comic-style image of the pilot encountering an alien creature, a being made of light and energy, communicating through patterns of color and light."
  7. "A comic-style image of the pilot and the alien creature exploring the alien structures, revealing ancient alien technology and artifacts."
  8. "A comic-style image of the pilot and the alien creature in danger, running from a massive alien beast, with the alien city in the background."
  9. "A comic-style image of the pilot using a futuristic gadget to fend off the alien beast, with bright beams of energy shooting out of the gadget."
  10. "A comic-style image of the spaceship taking off from the alien planet, with the pilot waving goodbye to the alien creature, the alien city glowing in the background."
#

Remember to use the DALL·E API to generate these images and specify the size and quality parameters as per your requirements[^4^]. Also, you can use the tips provided in the extracts to improve the quality of the images[^1^].

^1^]: [How can I improve my prompts with DALL·E? (https://help.openai.com/en/articles/6582391-how-can-i-improve-my-prompts-with-dall-e)
^4^]: [Image generation (https://platform.openai.com/docs/guides/images?context=node)

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wicked oxide kapa.ai is still learning and improving, please let us know how it did by reacting below

wicked oxide
#

Thanks @tranquil copper That's not exactly what I wanted but Can you provide 10 elaborate and directive prompts for Dalle, specifically tailored to ensure each image contributes to the cohesive narrative and visual theme of the series? These prompts should serve as clear instructions for Dalle to follow in order to achieve this goal. We will assume that Dalle can generate 10 images at a time. Every single image of those images should contain the first/original scene plus some new details...

tranquil copperBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Sure, I understand you want to create a series of images where each new image contains the original scene plus some new details. Here are 10 detailed prompts for DALL·E to generate a coherent series of images for a space adventure comic book:

#
  1. "Generate a comic-style image of a spaceship taking off from a futuristic city on Earth, with skyscrapers towering in the background and crowds of people watching in awe."
  2. "Generate a comic-style image based on the previous scene, but now the spaceship is higher in the sky, leaving a trail of smoke, and the crowd is cheering."
  3. "Generate a comic-style image based on the previous scene, but now the spaceship is exiting the Earth's atmosphere, with the curvature of the Earth visible below and the vastness of space ahead."
  4. "Generate a comic-style image based on the previous scene, but now the spaceship is traveling at light speed, stars streaking past it, creating a tunnel of light around the ship."
  5. "Generate a comic-style image based on the previous scene, but now the spaceship is approaching a mysterious alien planet, bathed in the light of a distant star."
  6. "Generate a comic-style image based on the previous scene, but now the spaceship is landing on the alien planet, with strange, colorful vegetation visible on the surface."
  7. "Generate a comic-style image based on the previous scene, but now the pilot is stepping out onto the alien soil, looking at the strange, colorful vegetation and towering alien structures in the distance."
  8. "Generate a comic-style image based on the previous scene, but now the pilot is encountering an alien creature, a being made of light and energy, communicating through patterns of color and light."
  9. "Generate a comic-style image based on the previous scene, but now the pilot and the alien creature are exploring the alien structures, revealing ancient alien technology and artifacts."
  10. "Generate a comic-style image based on the previous scene, but now the pilot and the alien creature are in danger, running from a massive alien beast, with the alien city in the background."
#

Remember to use the DALL·E API to generate these images and specify the size and quality parameters as per your requirements[^4^]. Also, you can use the tips provided in the extracts to improve the quality of the images[^1^].

^1^]: [How can I improve my prompts with DALL·E? (https://help.openai.com/en/articles/6582391-how-can-i-improve-my-prompts-with-dall-e)
^4^]: [Image generation (https://platform.openai.com/docs/guides/images?context=node)

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@wicked oxide kapa.ai is still learning and improving, please let us know how it did by reacting below

wicked oxide
#

Thanks @tranquil copper . Now I want you to explain what makes the prompts more effective ? Please explain everything in details and assume I am 5 years old. I want to understand the best practices for prompt engineering in a very detailed manner.

tranquil copperBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Sure, let's imagine we're telling a story to a toy robot. The robot can tell us back the story, but it needs our help to start. This help we give to the robot is what we call a "prompt".

Now, if we tell the robot, "Tell me a story about a cat", the robot might not know what kind of story we want. It could be a happy story, a scary story, or a funny story. It could be a story about a cat in a house, a cat in space, or a cat that can talk. The robot gets confused because our instruction is not clear.

But, if we tell the robot, "Tell me a funny story about a cat who lives in a house with five dogs", the robot will have a better idea of what we want. It knows we want a funny story, it knows the story is about a cat, and it knows the cat lives in a house with five dogs. This is a good prompt because it's clear and detailed.

Here are some things that can make our prompts better:

  1. Be clear and specific: Just like in our story example, the more details we give, the better the robot can tell the story we want. If we want a list, we should ask for a list. If we want a story, we should ask for a story.

  2. Give examples: Sometimes, it's easier to show the robot what we want. If we want the robot to write like a famous writer, we can show it something that writer has written.

  3. Ask the robot to think like an expert: We can tell the robot to pretend it's an expert on the topic of our story. This can help the robot give us better answers.

  4. Ask the robot to explain its thinking: If we ask the robot to tell us how it's thinking about the story, it can help make sure the story makes sense.

Remember, the robot is here to help us, but it needs clear instructions to do its best work[^2^][^3^][^4^].