Gemini

The variety of features in the Gemini app available in the side panel of the Workspace has really been beneficial to so many people. Where you previously switched from Gmail to Docs to retrieve information for a message, what you need is now at your side next to a compose window with a hint.

5 Major tips for writing prompts for Gemini in Google Workspace

Requesting People to be Specific

With Gemini, it’s far more effective to use very particular and precise prompts. As the procedural step is simple, it is crucial to make logical statement templates if you are looking for something specific from the document for instance.

For instance, using the format- instead of a broad request like ‘Can I please get the hotel information?’ you could be specific like this ‘What is the name of the hotel and its sales manager’s email as per @Company Offsite 2024? This pinpoints information from Gemini for her to pull out the relevant details.

Use Contextual Information

This reveals that providing context data can enhance the reliability of Gemini’s answers to a large extent. It is best to provide specifics such as the document name or part or passage from the document to the AI so that it knows where to search.

For instance, the use of the phrase ‘check information from a certain Google document’ means that the AI retrieves information from the right source, as preferred by Gemini.

Experiment and Iterate

More to the point, if you do not get the result you want with your first message just send another one. Try using various keywords, more or less foliage, or vary the volume of prompts.

The Google team’s studies show that ideal quantities of these prompts total approximately 21 words, still, the first tries are usually rather brief. Changing the strategy could make the identification more precise and productive.

Also, shifting between different alter-egos may be helpful. For instance, to get different and useful responses one can write prompts about training and expect Gemini to respond like a colleague rather than a teacher.

Share and Collaborate

One can also learn from other colleagues sharing successful prompts and the results they had in different learning sessions. The development team at Google initiated a group chat to discuss their experiences and realized that it, highlights the strengths and weaknesses of Gemini. This interaction may occasionally assist users in learning from each other how to frame the perfect prompt.

Continuous Feedback

Feedbacks from inside Google users and selected testers are collected over time in order to fine-tune what Google’s Gemini is capable of. Over time, users’ feedback helps to develop the tool, making it capable of analyzing complicated information and its context in various sources.

By Yash Verma

Yash Verma is the main editor and researcher at AyuTechno, where he plays a pivotal role in maintaining the website and delivering cutting-edge insights into the ever-evolving landscape of technology. With a deep-seated passion for technological innovation, Yash adeptly navigates the intricacies of a wide array of AI tools, including ChatGPT, Gemini, DALL-E, GPT-4, and Meta AI, among others. His profound knowledge extends to understanding these technologies and their applications, making him a knowledgeable guide in the realm of AI advancements. As a dedicated learner and communicator, Yash is committed to elucidating the transformative impact of AI on our world. He provides valuable information on how individuals can securely engage with the rapidly changing technological environment and offers updates on the latest research and development in AI. Through his work, Yash aims to bridge the gap between complex technological advancements and practical understanding, ensuring that readers are well-informed and prepared for the future of AI.

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