September 26th, 2023
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16.30 CET | 10:30 EDT | 7:30 PDT
About the Generative AI webinar
Welcome to the session on Generative AI using open source LLM models. In this session, we will cover the following topics:
Introduction to LLM models
Privacy and information security considerations for using large language models in your organization
The technology landscape of open source LLM models
Use case overview: Summarizing financial data using open-source LLM models
We will help you understand the basics of LLM models and their significance in the field of AI. We will also discuss the privacy and security concerns that come with using large language models in your organization. You will get an overview of the technology landscape of open source LLM models and their use cases. Finally, we will walk you through a use case that involves summarizing a table of financial data using open-source LLM models.

The webinar will be focused more on technical aspects - you'll see the the example use case and its implementation.
About the Speaker
Michał Bryś
Michal is a professional Machine Learning Engineer with 13+ years of experience in developing and implementing cutting-edge ML solutions. With a deep understanding of machine learning algorithms, distributed systems, and DevOps practices, Michal has successfully led numerous projects across a wide range of industries. Michal is also an experienced speaker and thought leader, having presented at various conferences and events on the topic of ML and MLOps (Kubeflow Summit, Big Data Tech Summit, Google Cloud Poland Digital Conference). He is passionate about sharing his knowledge and experience with others, and is committed to helping organizations implement effective machine learning solutions that drive business value. A Google Cloud Certified Professional Machine Learning Engineer and Data Engineer.

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We've been already working for tens of companies ranging from fast-growing European startups to global corporations in pharmacy, FMCG, banking and media sectors. We trully focus to help our customers achieve true ROI from their data processing.


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