Advanced GPT Model Development - Secure & Optimized: Tutorial Part 2
Boost your chatGPT clone with Azure OpenAI Service: Enhance relevance & personalization, apply data-level access control
A Guided Tutorial on Developing an Advanced & Secure GPT Model (Part 2)
Written by Holger Imbery, this post is the second part of a series on developing an advanced and secure GPT model. The objective of this tutorial is to enable users to customize their chatGPT clone using Azure OpenAI Service (AOAI) and various Azure services such as Azure Blob Storage, Azure Cognitive Search, and Azure Search Index.
In so doing, users can make their chatbot more relevant and personalized utilizing their own data, achieving a more focused and user-friendly chatbot.
To add your data to the AOAI system conveniently:
- Go to Azure OpenAI Studio and navigate to the playground. Choose 'Chat', then 'Assistant Setups.'
- In the Assistant Setups, click on "Add your Data" and then "Add a data source"
- Select "Upload files" and follow the instructions to create an "Azure Blob Storage" and an "Azure Cognitive Search Resource".
- Enable CORS and assign a meaningful name to the search index.
- Upload some test data to Blob Storage and wait for all the resources to be created in the background.
- Once finished with the setup, validate its functionality with a brief chat session.
Furthermore, you need to update the config of your web app and then test it both locally and in a private browser before integrating the necessary "AZURE_Search*" elements as application settings.
Lastly, Holger emphasends the importance of limiting access to information by introducing document-level access control, and suggests using semantic search instead of keyword search. More on these topics will be covered in the upcoming posts.
Further Exploration on the ChatGPT Model
The blog post provides an informative way of integrating AOAI and Azure services to customize and improve the performance of chatGPT. The addition of user's own data for customization makes the chatbot more relevant and personalized for the users. Furthermore, the user-friendly setup process makes it easy for users to get started with the customization.
For future optimization, considering document-level access control to secure sensitive information is emphasized. Holger hints at the exploration of other elements such as the implementation of chat history, addition of semantic search, and the incorporation of other channels in the following weeks as ways to enhance the users' experience using the "ownGPT".
Read the full article Developing an Advanced & Secure GPT Model: A Guided Tutorial (Part 2)
Learn about Developing an Advanced & Secure GPT Model: A Guided Tutorial (Part 2)
The text is focused on developing an advanced and secure GPT Model. The reader is guided through the second part of this tutorial series, where they will learn how to customize their chatGPT clone using Azure OpenAI Services and other associated Azure services. Services mentioned include Azure Blob Storage for data storage, Azure Cognitive Search for data indexing and querying, and Azure Search Index for GPT model fine-tuning. The goal is to create a more personalized and relevant chatbot for users. Additionally, the text provides a step-by-step guide on how to add and test data using Azure OpenAI Studio.
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Keywords
Microsoft expert guide, Microsoft AOAI tutorials, Advanced customization in Azure, Azure OpenAI service guide, Personalizing ChatGPT in Azure