π― Azure OpenAI allows users to leverage models like GPT 3.5 on their own data without coding or trading.
π Fine-tuning and retrieval augmented generation (RAG) are two approaches to working with language models like ChatGPT.
π‘ Fine-tuning involves retraining the model on new text data related to the desired task, while RAG retrieves relevant text data for each task.
π€ The decision between fine-tuning and RAG depends on the amount of task-specific data available.
β° The frequency of model updates is a factor in choosing between fine-tuning and RAG.
π‘ The need for accuracy and coherence in the model's output influences the choice between fine-tuning and RAG.
π The importance of citing sources affects the decision between fine-tuning and RAG.
π Using Rag works well for most use cases, but fine-tuning may not always be necessary.
π The Azure OpenAI Service leverages a knowledge base and allows for data connection from various sources.
π» The architecture includes a web app and a managed chat bot to handle queries and provide relevant results.
π Azure OpenAI provides content filters to ensure safety and quality of outputs.
π Different quotas determine the usage limits for Azure OpenAI services.
π» The chat playground in Azure OpenAI allows for deploying and leveraging the GPT-35 Turbo model with customizable instructions and data sources.
π‘ Permissions are required to create resources like Azure cognitive search indexes and private endpoints are not supported in the preview.
π Azure blob storage and Azure cognitive search are available options for storing and retrieving data, with the latter allowing for efficient data retrieval.
π The video demonstrates how to connect Azure blob storage and Cosmos DB with Azure cognitive search, enabling the retrieval of indexed documents.
π Azure OpenAI and Cognitive Search can be used together to retrieve and interact with data.
π¬ Azure OpenAI and Cognitive Search provide the ability to generate responses in a chat bot-like manner.
π The data can be deployed and used in a web app using Azure App Services.
π The video discusses how to configure and customize Azure Cognitive Search for use in the ChatGPT application.
π» It explains the connection between the application code running on App Services, the GitHub repository, and the Flask framework.
π€ By leveraging the Azure Cognitive Search index created for Cosmos DB, users can interact with the ChatGPT application and retrieve specific information.