Azure OpenAI Assistant API Launch with the PG

Join Mona Whalin Principal Program Manager from the Azure OpenAI PG, Alex Morales & Karen Ekberg from the Azure FastTrack PG, and of course Andrés Padilla, Neeraj Jhaveri, & Bradley Ball from @Tales-from-the-Field for the launch of the Azure OpenAI Assistant API Lauch! This is your opportunity to hear directly from the PG, see a demo of the OpenAI Assistant API, and ask questions! The Assistants API enables you to create AI assistants within your own apps. These assistants have instructions and can use models, tools, and knowledge to answer user questions. The API currently offers three types of tools: Code Interpreter, Retrieval, and Function calling. Key Features and Benefits Code Interpreter Tool: The Code Interpreter feature of the Assistants API enables the writing and execution of Python code within a secure environment. This functionality is capable of handling various types of files, including those with different data and formatting, and can produce output files containing data and graphical representations. Function Calling Tool: The Assistants API, like the Chat Completions API, enables function calling. With function calling, you can define functions for the Assistants and it will intelligently provide the necessary functions to be called, along with their respective arguments. Knowledge Retrieval: The Assistant can enhance its knowledge by incorporating information from external sources, such as exclusive product details or documents shared by users. When a file is uploaded and given to the Assistant, OpenAI will automatically break down the documents into smaller parts, organize and store the embeddings, and utilize vector search to find relevant content that can be used to respond to user inquiries. Coming soon to Azure OpenAI! Threads: A Thread represents a conversation. The Assistant will ensure that requests to the model fit within the maximum context window, using relevant optimization techniques such as truncation