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ML Engineer Hamel Husain Shares LLM Building Insights and Evals Focus

By PulseAugur Editorial · [1 sources] ·

Hamel Husain, an experienced machine learning engineer, shares insights from a year of building with large language models. He emphasizes the importance of "evals" for debugging, analyzing, and measuring AI systems, drawing on his background at companies like Airbnb and GitHub, and his work with OpenAI. Husain also offers a course on AI Evals for Engineers and PMs, which has attracted over 4,500 students from various companies, including OpenAI, Anthropic, and Google. AI

IMPACT Offers practical advice on evaluating and debugging AI systems, relevant for practitioners building with LLMs.

RANK_REASON The item is a blog post by an individual sharing personal insights and experiences with AI development, rather than a company announcement or research paper.

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

ML Engineer Hamel Husain Shares LLM Building Insights and Evals Focus

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The item is a blog post by an individual sharing personal insights and experiences with AI development, rather than a company announcement or research paper.
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opinion, product
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High
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847 days old
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COVERAGE [1]

  1. Hamel Husain TIER_1 English(EN) ·

    What We've Learned From A Year of Building with LLMs

    A practical guide to building successful LLM products.

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