The importance of having a prompt library in business

The advantages of having a prompt library in business. How to create it?

With the massive adoption of generative AI (GAI) in business, there is a considerable commercial challenge to get the most out of this new technology. This requires the sharing and massive adoption of best AI practices. So that the standards of use of the IAG are at the highest and that they are consistent, monitorable (excuse our anglicism) and improvable at scale, deploy a business prompt library is the easiest and most effective way.

Increase the precision and quality of responses generated by AI models

The power of generative AI models depends on the ability of users to guide systems with precise instructions and to iterate based on the responses generated. A poorly worded prompt produces inaccurate or irrelevant results. Of course, savvy employees know how to refine instructions to guide AI to useful results.

The interface of AI systems is generally simple, the quality of the responses lies in the precision and optimization of the prompts that are sent to the language model. In this sense, a prompt library provides a work base and a framework for increasing efficiency for your teams.

It will allow each team to be able to save the prompts giving them satisfactory results, to improve them gradually and therefore to, step by step, create reusable use cases for themselves and potentially within their company.

Facilitate the discovery, implementation, and improvement of recurring use cases

Businesses can streamline work processes and AI integration for all employees. The provision of resources selected for the needs of each department makes it possible to gain in productivity.

Beyond the subject of the massive adoption of AI in services, it is basic use such as text generation and daily use cases that pose a problem. These systems are formed on a large volume of data that makes them a powerful assistant for automating workflows in various departments. A prompt library makes it possible to show teams use cases and facilitates adoption for more complex tasks.

Sharing prompts to use AI internally makes it possible to iterate and develop skills on complex uses in environments such as risk management, cross-report analysis, and logistics flow management in most business sectors.

In this sense, Mendo supports organizations to integrate AI into work habits. A prompt manager helps teams create the prompts in their work context, and to design and enrich their prompt library and share them with the various teams.

What is missing in the Prompts Bookstore

Centralizing useful prompts for different services is only part of the equation. It is an interesting basis for learning and the sharing of resources. But you get optimal results with AI with instructions specific to your environment, a good knowledge of how IAG works and above all, iteration.

The role of the management team in the adoption of AI tools and the proper handling of the corporate prompt library is essential. Change management in the AI process requires the validation and support of teams, where a library of prompts alone is not enough to benefit from its full potential.

The prompt library becomes an essential resource if trained with domain and market-specific instructions. You thus benefit from more efficient models and satisfactory answers, for example for financial analysis, legal research, HR processes...

Processes to control the quality of responses are necessary at all levels. It is only through cooperation and human validation that the risks of error on sensitive data become marginal and identified.

You can also gain efficiency and time with GenAI models customized to your environment. They require fewer iterations to match the company's branding.

Creating a shared library will provide a framework within the organization. Care must also be taken to make an updated and enriched version accessible in line with technological developments and the level of skills of the teams.

This is all the added value of Mendo of directly integrating a prompt manager into your teams during our support, but also much more! The results are promising, as trained employees increase the use of AI in their daily lives by 2.7x.

How to create an efficient and iterative prompt library?

A general prompt library is a good base, but customizing these prompts for your reality will bring the real results you want. Adding context, goals, clarifying the tone, and giving depth to the systems will make a key difference. You will also be able to have tags, to filter the prompts according to the services, which adds granularity to these assets and makes them more usable.

It is important to provide specific examples and data from the macro market environment, or authoritative business sources to bring granularity and authenticity to the responses generated.

In addition, by evaluating the AI results, the system generates more relevant answers. You can ask to segment complex reasoning into simpler steps to improve your human decision-making.

Finally, continuous improvement with user feedback allows you to improve your prompts as you make extensive use of AI. The operational team must be able to provide feedback to management and suggest improvements for everyone to use.

Conclusion

Redefining how we work with AI requires joint adoption across teams. Organizations that share a library of effective and updated prompts leave with a considerable advantage, even if they do not do everything.

However, ensuring that teams increase their skills in generative AI remains a prerequisite before deploying a prompt library. You have to learn how to use a hammer before you start building a house.

Mendo also allows you to support you throughout this generative AI cycle:

• Acculturate
• Former
• Adopt
• Sharing best practices: the role of the prompt manager