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September 16-18, 2024
Vienna, Austria
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Wednesday September 18, 2024 11:00 - 11:40 CEST
In the realm of open source development, efficient and comprehensive documentation plays a pivotal role in facilitating collaboration, adoption, and innovation. However, creating high-quality documentation often proves time-consuming and labor-intensive for developers. In this session, we will explore the potential of using large language models (LLMs) in automating documentation creation, streamlining the documentation workflow and enhancing the overall developer experience. We will delve into the intricacies of integrating generative AI models into the documentation workflow, discussing key aspects such as open source tooling for model development, model selection and effective evaluation of the generated documentations. Attendees will gain insights into how generative AI can revolutionize the way documentation is created and maintained in open source projects, ultimately driving greater efficiency and productivity in software development workflows. This talk is a must for anyone looking to transform their documentation from a laborious manual process to an efficient automated one, ushering in a new generation of streamlined documentation workflows.
Speakers
avatar for Hema Veeradhi

Hema Veeradhi

Principal Data Scientist, Red Hat
Hema Veeradhi is a Principal Data Scientist working in the Emerging Technologies team part of the office of the CTO at Red Hat. Her work primarily focuses on implementing innovative open AI and machine learning solutions to help solve business and engineering problems. Hema is a staunch... Read More →
Wednesday September 18, 2024 11:00 - 11:40 CEST
Room 0.11-0.12 (Level 0)
  TechDocsCon

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