Cover Image for Generative AI Innovators Stuttgart supported by Festo
Cover Image for Generative AI Innovators Stuttgart supported by Festo
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Presented by
Weights & Biases
2 Went

Generative AI Innovators Stuttgart supported by Festo

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Stuttgart, Germany
Registration
Past Event
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About Event

Join us in Stuttgart on January 28 for our next Generative AI Innovators' event and enjoy an evening of inspiring presentations, engaging conversations, and valuable connections. Attend and immerse yourself in the forefront of AI and machine learning  innovation.

What to expect

  • Presentations from industry experts citing real-life examples of AI applications

  • Networking and connecting with fellow practitioners and leaders

  • Good food, drinks, and conversations

What you will learn

  • A foundational understanding of LLMOps, why it’s critical for organizations, and how to build and scale efficient operations.

  • Understanding the LLMOps lifecycle from model design and development to deployment, monitoring, and refinement.

  • Actionable insights to create a framework for enabling collaborative, efficient, and successful LLM deployment from prototype to production.

  • Real-world case studies showcasing success with ML and LLM applications.

Who Should Attend

  • AI practitioners

  • ML engineers and data scientists

  • Developers and team leaders looking to advance their knowledge of LLMOps

Agenda

  • 18:00-18:15 Registration & networking

  • 18:15-18:55 Presentation: AI in Automation: From Research to Product (Festo)

  • 18:55-19:30 Presentation: From Tüftlers to Trailblazers: When Silicon Valley Meets Swabian Precision (Weights & Biases)

  • 19:30-20:30 Drinks, pizza & networking

Speakers

  • Hans Ramsl, AI Solutions Engineer, Weights & Biases

  • Daniel Spies, Machine Learning Engineer, Festo

Space for this event is limited. Please complete the form to secure your place today.

Location
Please register to see the exact location of this event.
Stuttgart, Germany
Avatar for Weights & Biases
Presented by
Weights & Biases
2 Went