Valentina Alto

Valentina Alto

Azure Specialist - Data and Artificial Intelligence at Microsoft

Valentina is a Data Science MSc graduate and Cloud Specialist at Microsoft, focusing on Analytics and AI workloads within the manufacturing and pharmaceutical industry since 2022. She has been working on customers' digital transformations, designing cloud architecture and modern data platforms, including IoT, real-time analytics, Machine Learning, and Generative AI. She is also a tech author, contributing articles on machine learning, AI, and statistics, and recently published a book on Generative AI and Large Language Models. In her free time, she loves hiking and climbing around the beautiful Italian mountains, running, and enjoying a good book with a cup of coffee.

All Sessions by Valentina Alto

Multimodal Retrieval Augmented Generation

Generative AI | Beginner-Intermediate

Retrieval augmented generation (RAG) soon became established as the reference architecture whenever we want to inject custom knowledge into our LLM-powered applications. Insofar, RAG has been applied to text data. Nevertheless, with the launch of GPT-4-turbo vision, we can extend the same concept also data different from texts, such as images. In this workshop, we are going to cover the architecture behind a typical RAG application and how to incorporate images within this architecture, leveraging GPT-4-turbo with vision. To do so, we will see a practical implementation with Python and LangChain, consuming the model API from Azure OpenAI service.

Multimodal Retrieval Augmented Generation

Generative AI | Beginner-Intermediate

Retrieval augmented generation (RAG) soon became established as the reference architecture whenever we want to inject custom knowledge into our LLM-powered applications. Insofar, RAG has been applied to text data. Nevertheless, with the launch of GPT-4-turbo vision, we can extend the same concept also data different from texts, such as images. In this workshop, we are going to cover the architecture behind a typical RAG application and how to incorporate images within this architecture, leveraging GPT-4-turbo with vision. To do so, we will see a practical implementation with Python and LangChain, consuming the model API from Azure OpenAI service.

Open Data Science

 

 

 

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