Challenge created as part of the Microsoft Certification Challenge #3 DP-100 Bootcamp by DIO:
Imagine that you are a Software Engineering Student looking for your graduate thesis on human-machine interaction. It's necessary to revise and correlate a lot of papers and essays. Therefore, the more the document as harder is to extract relevant information and connect ideas between the different texts.
With this challenge, you decide to use AI to make this process easier by developing an intelligent search system to be able to interpret PDF files, organize information and generate relevant answers based on the loaded content.
✅Load PDF files containing relevant information about the study or project.
✅Implement an embedded search system to index and retrieve information from PDF files.
✅Use AI to generate responses based on the content of the loaded documents.
✅Develop an interactive chatbot to ask questions and receive contextual answers based on the documents.
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Navigate to Azure AI Froundry.
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Create a project and new hub
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After the resources are created, you will be brought to your project’s Overview page. On the left-hand menu on the screen, select Models + endpoints.
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In Azure AI Foundry’s Models + endpoints page, select Deploy Model.
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Click in deploy base model. Choose a model to create a new deployment.
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In this project was used gpt-4 and text-embedding-3-large.
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After the model is confirmed in the Deploy model window, keep the default naming and select Create resource and deploy
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After the models are created, on the left-hand menu on the screen, select Playgrounds.
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In the Chat playground, you can use your deployed model when it appears in the Deployment selection menu.
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In the Deployment selection menu select gpt-4.
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Scroll down and select the option Add your data and then Add a new data source.
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In the Add your data window, select Upload files from the Data source drop down menu to upload the files to be used.
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The papers used can be found in the folder essays.
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Click next and create and select a new Azure AI Search resource.
- Keep clicking next and select Create vector index to vectorize all the uploaded essays.
- To personalize the chatbot, in the Setup will be given model instructions and context in the system message. The following example text has been used:
You are a software engineer with extensive knowledge of human-machine interaction. Answer in an objective manner, citing the author and date.
Prompt
What's the definition of human-machine interaction?
Output
According to Carroll (1997), human-machine interaction can be broadly defined as the study and practice of designing, implementing, and evaluating interactive computing systems for human use, as well as the study of major phenomena surrounding them. This encompasses the ways in which humans interact with computers and other machines, focusing on the interface design, user experience, and usability.