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ML Engineer Questions Relevance of Traditional ML in the Age of Generative AI

Vicki Boykis, a machine learning systems builder, reflects on the evolving landscape of machine learning engineering in the age of large language models. She questions the continued relevance and value of traditional machine learning practices when LLMs can generate code and accelerate prototyping. Boykis uses the analogy of building and maintaining one's own "context window" of knowledge to effectively integrate new AI tools with existing software engineering principles. AI

IMPACT Questions the future of traditional ML engineering as LLMs accelerate development, urging practitioners to maintain their own knowledge context.

RANK_REASON Opinion piece by a named individual reflecting on the state of an industry.

Read on Lobsters — AI tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ML Engineer Questions Relevance of Traditional ML in the Age of Generative AI

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Opinion piece by a named individual reflecting on the state of an industry.
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opinion, other
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154 days old
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COVERAGE [1]

  1. Lobsters — AI tag TIER_1 English(EN) · vickiboykis.com via datboi ·

    Build yourself flowers

    <p><a href="https://lobste.rs/s/u0pix1/build_yourself_flowers">Comments</a></p>