Skill path

LLM Metrics and Trade-Offs

Evaluate LLM skill through metrics like BLEU, ROUGE, F1, HELM, navigating accuracy, latency, cost, scalability trade-offs, addressing bias and ethical concerns.

  • Skill level

    Intermediate
  • Time to complete

    Approx. 10 hours
  • Certificate of completion

    Yes

About this skill path

The LLM Metrics and Trade-Offs learning journey equips AI practitioners, data scientists, and decision-makers with the skills to critically evaluate and select large language models for real-world applications. Across six concise courses, you’ll explore essential metrics like BLEU, ROUGE, F1, and HELM, and navigate key trade-offs in accuracy, latency, cost, and scalability. You’ll also address ethical concerns, including bias and fairness, and learn how to optimize model performance under operational constraints. By the end, you can confidently assess and select the right LLM based on technical, ethical, and business considerations.

Syllabus

  • Track 1: LLM Metrics and Trade-Offs

    In this track, the focus will be on LLM key metrics, accuracy, performance, latency, scalability, cost efficiency, bias, fairness, ethical considerations, and selecting the right LLM.

    course Large Language Models and Key Metrics
    course LLM Accuracy, Performance, and Trade-Offs
    course LLM Latency, Throughput, and Scalability
    course LLM Cost Efficiency, Model Size, and Resource Optimization
    course LLM Bias, Fairness, and Ethical Considerations
    course Selecting the Right LLM

How it works

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In this skill path, you'll watch videos created by industry-leading experts for some of the biggest tech companies in the world. They'll cover key concepts, go through sample applications, prepare you for industry certifications, and more. Watch on any device — whenever and wherever you want — to learn at your own pace.

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