ChatGPT for Information Retrieval and Competitive Intelligence

This article is an excerpt from the book Modern Generative AI with ChatGPT and OpenAI Models, by Valentina Alto. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models.

Information retrieval and competitive intelligence are fields where ChatGPT is a game-changer. It can retrieve information from its knowledge base and reframe it in an original way.

One example is using ChatGPT as a search engine to provide summaries, reviews, and recommendations for books:


 

Alternatively, we could ask for some suggestions for a new book we wish to read based on our preferences:

 

If we design the prompt with specific information, ChatGPT can serve as a tool for pointing us towards the right references for research or studies. For example, asking ChatGPT to list relevant references for feedforward neural networks:

 

ChatGPT can also be useful for competitive intelligence. For example, generating a list of existing books with similar content:

 

Or providing advice on how to be competitive in the market:

 

ChatGPT can also suggest improvements regarding book content to make it stand out:

 

Overall, ChatGPT can be a valuable assistant for information retrieval and competitive intelligence. However, it's important to remember that the knowledge base cutoff is 2021, so real-time information may not be available.

About the Author

Valentina Alto graduated in 2021 in Data Science. Since 2020 she has been working in Microsoft as Azure Solution Specialist and, since 2022, she focused on Data&AI workloads within the Manufacturing and Pharmaceutical industry. She has been working on customers’ projects closely with system integrators to deploy cloud architecture with a focus on datalake house and DWH, data integration and engineering, IoT and real-time analytics, Azure Machine Learning, Azure cognitive services (including Azure OpenAI Service), and PowerBI for dashboarding. She holds a BSc in Finance and an MSc degree in Data Science from Bocconi University, Milan, Italy. Since her academic journey she has been writing Tech articles about Statistics, Machine Learning, Deep Learning and AI on various publications. She has also written a book about the fundamentals of Machine Learning with Python. 

You can connect with Valentina on:

• LinkedIn
• Medium