// Abstract
A year ago, with the introduction of GPT-4, the sphere of machine learning was transformed completely. These advancements and LLMs unlocked the capability to address previously unsolvable problems but also commoditized machine learning.
// Bio
As the principal machine learning engineer at Digits since 2020, Hannes Hapke is fully immersed in day-to-day, evolving innovative ways to use machine learning to boost productivity for accountants and business owners. Prior to joining Digits, Hannes solved machine learning infrastructure problems in various industries including healthcare, retail, recruiting, and renewable energies.
Hannes is an active contributor to TensorFlow’s TFX Addons project and has co-authored multiple machine learning publications including the book "Building Machine Learning Pipelines" by O’Reilly Media. He has also presented state-of-the-art ML work at conferences like ODSC, or O’Reilly’s TensorFlow World.
A big thank you to our Premium Sponsors, @Databricks and @baseten for their generous support!
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Негізгі бет Ғылым және технология Machine Learning beyond GenAI - Quo Vadis? // Hannes Hapke // AI in Production Conference
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