3:00 PM - 4:30 PM (UTC)

Use Generative AI (Bing Chat, GPT-4) to Create the perfect idea for your Startup or business. In this session, you'll develop the following skills that can be used in your everyday interaction with Generative AI.

3:00 PM - 4:30 PM (UTC)

In this challenge project, Bing Chat guides you on how to create prototypes/ mock-ups of your solution and on implementing the project. Develop the following skills: Lateral thinking, Visual reading, Out-of-the-box thinking, Problem-solving, Artistic creativity, and Analytical mind

3:00 PM - 4:30 PM (UTC)

Use Generative AI (Bing Chat, GPT-4) to Create a Business Model for your Startup or business.

3:00 PM - 4:30 PM (UTC)

Learn about the history of natural language processing (NLP), including how the Transformer architecture revolutionized the field and helped us create large language models (LLMs). Work with LLMs in Azure Machine Learning through the foundation models in the model catalog. Then, train a pretrained Large Language Model (LLM) on specific tasks. The model catalog in Azure Machine Learning offers many open source models that can be fine-tuned for your specific task.

3:00 PM - 4:30 PM (UTC)

Learn about how to use prompt flow to develop applications that leverage language models in the Azure AI Studio (preview). Understand the development lifecycle when creating language model applications. Understand what a flow is in prompt flow. Explore the core components when working with prompt flow.

3:00 PM - 4:30 PM (UTC)

Learn how to debug an AI model using the Responsible AI dashboard in Azure Machine Learning studio to ensure it performs responsibly and is less harmful. Create a responsible AI dashboard. Identify where the model has errors. Discover data over or under representation to mitigate biases. Understand what drives a model outcome with explainable and interpretability. Mitigate issues to meet compliance regulation requirements.

3:00 PM - 4:30 PM (UTC)

Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.

3:00 PM - 4:30 PM (UTC)

This episode teaches you how to build, run, evaluate, deploy, and use, an LLM application with Retrieval Augmented Generation. We'll walk you through the end-to-end development process from prompt engineering to LLM Ops with step-by-step instructions all the way

3:00 PM - 4:30 PM (UTC)

Use Azure AI Search to make your data searchable. Then unlock the hidden insights in your data with Azure AI Search. Explore Azure AI Search. Create an Azure AI Search index. Import data to the index. Query the Azure AI Search index. Create an Azure AI Search solution. Develop a search application.