The InfoQ Podcast

Susan Shu Chang on Bridging Foundational Machine Learning and Generative AI

14 snips
Jan 6, 2025
Guest
Susan Shu Chang
Susan Shu Chang, Principal Data Scientist at Elastic, delves into the synergy between foundational machine learning and generative AI. She emphasizes the critical role of collaboration between machine learning practitioners and software engineers to ensure effective model deployment. Chang discusses the challenges of harnessing large language models for summarizing log data and explores practical tools for developing generative AI applications. Additionally, she shares strategies for navigating machine learning job interviews, highlighting the importance of a well-rounded skill set.
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INSIGHT

Foundational ML Importance

  • Foundational machine learning techniques still power many everyday applications like personalized recommendations.
  • These core concepts remain crucial even with the rise of generative AI.
ADVICE

Tools for Foundational ML

  • Explore PyTorch and TensorFlow for foundational machine learning and build simple web apps.
  • Connect your models to UIs to understand practical industry applications.
ANECDOTE

Deployment Pitfalls

  • A Grammarly speaker highlighted common pitfalls preventing ML model deployment, often related to problem definition and communication.
  • Susan emphasizes starting with rules-based approaches as baselines for comparison and ROI evaluation.
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