The advent of ChatGPT and other large language models and generative AI has drawn global consumers, business entities, and C-suite interest.

In this demo-drive session, we will delve deeper into several intricate details and technical aspects and will also cover Practical guidance on developing robust, scalable applications using Azure Open AI, ChatGPT, and Cognitive Services, focusing on industry requirements and best practices.

• Azure OpenAI Services: We will explore what these services are, their architecture, and their place within the broader AI ecosystem.
• Prompt Engineering: An in-depth look at this critical aspect of large language model usage. We will cover how prompts work, why they are important, and the factors that influence their effectiveness.
• Customizing Azure OpenAI Services: From configuration to deployment, we'll show you how to tailor these services to suit a range of specific needs.
• Deep dive into Azure Open AI Services: We'll specifically focus on several of the models like GPT, Davinci, Ada, Babbage, Curie, and Cushman, discussing their unique features and optimal use cases.
• Cognitive Services Overview: Discussion on key components such as Language Services, Speech services, Vision services, and their real-world applications.
• Conversational AI: A look at the development of AI that can engage in human-like dialogues, including designing, training, and refining conversational models.
• Azure Cognitive Search: We will cover how we can use this service to create an advanced search experience.
• Forms Recognizer: We will cover how this service uses machine learning technology to identify and extract key-value pairs and table data from form documents.
• Creating Enterprise-Level Applications: Practical guidance on developing robust, scalable applications using Azure Open AI, ChatGPT, and Cognitive Services, focusing on industry requirements and best practices.

You will learn:

• Azure OpenAI Services: We will explore what these services are, their architecture, and their place within the broader AI ecosystem
• Cognitive Services Overview: Discussion on key components such as Language Services, Speech services, Vision services, and their real-world applications
• Creating Enterprise-Level Applications: Practical guidance on developing robust, scalable applications using Azure Open AI, ChatGPT, and Cognitive Services, focusing on industry requirements and best practices