"ChatGPT, teach me to write prompts"
Itzik Woda
Maximize Efficiency. Minimize Environmental Impact. Transform Your Business with IBM’s Asset Lifecycle Management Solutions???
I asked ChatGPT to show me how to write prompts.
"Act as a Generative AI prompt engineer and explain me how to write the best prompt to get the most efficient results"
Here you go:
Writing an effective prompt for a generative AI, whether it's for creating text, images, or any other content, requires clarity, specificity, and an understanding of the capabilities and limitations of the AI. Here are some steps and tips to help you craft the best prompts for efficient and relevant results:
1. Be Specific and Detailed
The more specific and detailed your prompt, the more likely the AI will generate output that matches your expectations. Specify the context, desired style, tone, and any specific details you want to be included. For image generation, describe not just the subject but also the setting, atmosphere, color scheme, and perspective.
2. Use Clear, Concise Language
While details are important, clarity and conciseness are also key. Avoid overly complex sentences or jargon that might confuse the AI. Aim for a balance between providing enough detail and keeping the prompt understandable.
3. Set the Right Expectations
Understand the capabilities and limitations of the AI. It's important to set realistic expectations for what the AI can generate based on your prompt. For example, asking for professional-level advice on highly specialized topics might not yield accurate results.
4. Include Examples or References When Possible
If you're aiming for a specific style or need to convey complex ideas, including examples or references can be very helpful. For textual content, you can describe the tone or style you're aiming for by referencing well-known works or authors. For images, mentioning art styles, eras, or specific visual elements can guide the AI more effectively.
5. Utilize Iterative Refinement
If the initial output doesn't fully meet your expectations, use iterative refinement. This means adjusting and adding to your prompt based on the results you get. It can be helpful to identify what aspects you liked and didn't like in the initial output and modify your prompt accordingly.
6. Leverage Keywords and Commands When Applicable
Some generative AI tools support specific commands or keywords that can direct the generation process more effectively. Familiarize yourself with any such features and incorporate them into your prompts as needed.
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7. Understand the Context and Audience
If you're generating content for a specific audience or context, ensure your prompt reflects any relevant constraints or preferences. This includes considering cultural nuances, the appropriate level of technical detail, and the desired impact or reaction from the audience.
Example of a Well-Crafted Prompt for Text Generation:
"Write a short story in the style of a classic fairy tale, about a young artist who discovers a magical paintbrush that brings their paintings to life. The tone should be whimsical and enchanting, suitable for children aged 6-10. Include a moral lesson about the importance of kindness and creativity."
Example of a Well-Crafted Prompt for Image Generation:
"Create a digital illustration of a serene and lush enchanted forest at sunset. The setting should be magical, with glowing flowers, ancient trees, and a small, clear stream running through the center. The color scheme should include soft purples, blues, and greens, evoking a sense of wonder and tranquility. Aim for a style reminiscent of early 20th-century fantasy book illustrations."
(The cover image above is one of the two results of this prompt).
By following these guidelines and adjusting based on the AI's responses, you'll become more adept at crafting prompts that lead to efficient and satisfying results.
Next, I asked it to "create an example prompt for writing a LinkedIn post"
Crafting a LinkedIn post prompt requires a clear understanding of the purpose of the post, the target audience, and the key message you want to convey. Below is an example prompt for a LinkedIn post designed to share insights from a recent professional conference:
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"Write a LinkedIn post reflecting on my recent attendance at the [Industry Conference Name], focusing on the innovative trends and key takeaways in [specific industry or field, e.g., 'technology and sustainability']. Start with a brief introduction about the importance of staying updated with industry trends. Highlight two or three groundbreaking ideas or technologies presented at the conference that you found particularly exciting and relevant to our work. Include a personal reflection on how these trends could shape the future of our industry and potentially influence our company's strategies or projects. Conclude with an invitation for your network to share their thoughts or experiences on these emerging trends, aiming to spark a conversation. The tone should be professional yet engaging, suitable for a diverse audience of industry peers, colleagues, and thought leaders."
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This prompt is structured to guide the AI in creating a post that not only shares valuable insights but also engages the professional network in a meaningful discussion. It specifies the content structure, key elements to cover, and the desired tone, ensuring the generated post meets the expectations for a LinkedIn audience.
I hope you find the content interesting and educational. Would love to learn from your experience.
#generativeai #teachdontpitch
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3 个月???? ??? ?? ?? ???????? ??? ????? ???? ?????? ???: ?????? ????? ??? ??????? ????? ????? ?????? ??????. https://chat.whatsapp.com/BubG8iFDe2bHHWkNYiboeU
Helping CEOs flip their ‘me-too’ marketing into category-defining movements that make more sales. Co-Intelligent Marketing? | Sales Enablement | 90-Day Marketing Sprints | Author of StoryCraft for Disruptors
7 个月Prompting is dead. For 3 reasons. 1. You get varied results every time, certainly with different large language models, and even with the same one. 2. It approaches collaboration with AI in the same way as programming. Collaboration with AI is not programming. It is not coding. Natural Language is the new programming language. And it doesn’t have to be English. 3. Prompting assumes one good question could yield the response you want. That’s not how you get the best results with AI. It’s an ongoing collaboration of tuning the training the tweaking. If you’ve experimented with creating GPT, you’ll see the best output you get is a collaboration that takes a bit of time. But once you’re done, it becomes an agent ofshockingly good deliverables
Senior Managing Director
8 个月Itzik Woda Very insightful. Thank you for sharing
3 Talents on your desk >1 is your precise fit ?? Headhunter 4 Startups & Medical device ?? ??CEO at Sitvanit Kustka Ltd??Influncer??+38K Followers
8 个月Nice.??