The Future of Work with Generative AI

The field of generative AI has expanded rapidly in recent years. Communication with consumers and end users may be made simpler and more effective by automating content production and conversational interactions using language models like GPT-3.5-Turbo and GPT-4 on the Azure OpenAI Service.

Defined generative AI input prompts

The input or instruction provided by users to elicit a certain form of response is referred to as a prompt in the context of AI, especially in large language models. It’s critical to design prompts that provide useful outcomes in order to make the most of huge language models like GPT-4. Choosing the right mix of phrases, idioms, symbols, and grammatical constructions to direct the model toward providing correct and useful material is the difficult part.

Why prompts are important

The way you ask for what you want may limit or expand the kind of information you get, just as when you communicate in person.

More specific prompts provide more accurate and relevant results because they let the user express their goal and what they anticipate from AI. They enable users to get a broad range of answers, including to queries, tales written in the voice of their favorite authors, poetry, and even coding-related jobs.

Based on the underlying model, its training data, or even little changes in how you phrase your request, similar cues might result in different results.

Here are some quick ideas to get you started producing the sort of material you need, whether for business or for fun.

Start now! 25 practical suggestions for producing your finest content to date

Know what you want

The issue or need you’re attempting to solve should be stated clearly. For example, “I need new suggestions for a marketing campaign for our newest app.”

Start with a simple question

To gauge the model’s comprehension, start with a simple query and work your way up to more intricate ones.

Ask open-ended questions

When given the freedom to travel, generative models perform best. Ask “What are some creative ways to grab attention across my social media platforms?” rather than “Should I use social media for marketing?” Even better, you may be precise about the platform you want to utilize (X, LinkedIn, etc.).

Iterate and refine

Utilize the input you get from the first prompts, then expand on it. Like the thought of a broad content marketing plan? Ask “How can I implement a content marketing strategy for a tech product designed to monitor how happy my pet is while I’m away from home?” as a follow-up.

Provide context

The more information you provide, the more effectively AI can adapt its reaction to your particular scenario. For instance, “I just released an app to track sleep patterns and am looking for low-cost marketing strategies that appeal to businesses concerned with their employee’s well-being.”

State your boundaries

Mention any restrictions (such as financial, time, and resource) up front. What marketing plans may be implemented for a new product at a $5,000 budget and within two weeks?

Big first, then little

For more useful insights, break large issues down into smaller ones. Ask “How can I increase online sales?” as opposed to “How can I improve my business?” “What social media platforms are best for advertising beanbags?” was the next question.

Opposites draw together: combine analytical and creative requirements

AIs are capable of doing both analytical and creative jobs. The ideal strategy is to divide and conquer, nevertheless. Think about marketing tactics, then consider the advantages and disadvantages of influencer marketing.

SWOT analysis: Strengths, Weaknesses, Opportunities, and Threats

A SWOT analysis may guide your company in the proper direction. Request a SWOT analysis from AI using details about your company to identify instantly actionable issues you can begin working on right now.

Request examples

An example at hand makes it simpler to understand a subject. Request an example, then maybe utilize it as a model. You’ll learn what applies to your particular situation and what doesn’t. Say, “Can you provide a case study of a successful influencer marketing campaign?”

Specify the format

Do you prefer a list, a paragraph, or bulleted answers? Mention that and watch as your desires come true.

Define technical terminology

Use a prompt to describe any terms or acronyms unique to your sector, or make sure the model is aware of the situation in which they are being used.

Rephrase for precision

If you’re not happy with the original response, try rephrasing your query. You’ll discover that asking questions may lead to fresh lines of thought in addition to releasing your creative communication juices.

In-depth versus short-form

Do you want a one-sentence summary or a thorough academic analysis? Include your choices in the prompt.

Use negative instructions for a positive effect

Indicate what you don’t want if you know what it is. Give examples such as “Provide marketing strategies excluding online advertisements.”

Multiple answers

To get a deeper grasp of your subject, seek for numerous viewpoints or responses to a same question.

Request sources

Even though the majority of models don’t do real-time online searches, asking them to base their responses on reliable sources up to their most recent training data might increase their trustworthiness.

Limit bias

Ask the model specifically to be objective or to take into account many viewpoints.

Key is context

Request information about the regulations for certain sectors. “What are the latest generative AI trends?” What legal obligations should I be aware of while writing about healthcare-related subjects?

Strength in numbers

Wherever feasible, use numbers: Want figures or percentages? Distances, measurements, or speed? Include this demand in your invitation.

Don’t ask invasive questions

Make sure your inquiry doesn’t direct the model toward a certain response, unless that is what you want.

Tone it down (or up)

Mention it if you prefer a more playful tone to more scholarly material. Give an original and exciting slogan, for instance, “Provide a green energy campaign.”

Provide real-world implications

Justify your necessity for the response or how it will add to the context. Next month, we’re releasing a brand-new software for testing cookies. What stance should we take in relation to rival x?

Safety and accuracy

Cross-reference the model’s crucial facts with reliable external sources, particularly if actions based on its conclusion will have a big impact on your organization.

Improve over time

If you often use the model, keep track of the prompt kinds that provide the greatest outcomes and adjust them as necessary.

Consider generative AI prompts as a multipurpose tool created for the digital age that may improve both company tactics and our personal life. For further advice, go to the AI learning and community center.

Microsoft  dedication to ethical AI

Microsoft is enabling businesses to create the next generation of AI applications securely and ethically by providing them with Responsible AI capabilities in Azure. Azure AI Content Safety, a cutting-edge AI technology that helps businesses protect AI-generated content and improve everyone’s online experiences, has been made generally available by Microsoft. Customers, ranging from small businesses to large corporations, are putting the capabilities of Azure AI Content Safety to use in social media, education, and employee engagement situations to help build AI systems that operationalize ethical AI concepts like fairness, privacy, and security.

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