Evaluating LLMs for Product Decisions

Master the mechanics of transformers to confidently assess AI capabilities, ensuring your design choices are backed by a technical understanding of large language model performance and limitations. * **Transformer architecture fundamentals** to grasp model logic and constraints * **Performance benchmarking** using qualitative and quantitative evaluation metrics * **Context window trade-offs** for cost and latency optimization * **Tool selection frameworks** tailored for specific product design goals

2 sections ยท 5 lessons

Course outline

Transformer Fundamentals

  1. Architecture Basics
  2. Attention Mechanism
  3. Transformer Fundamentals

Tool Evaluation

  1. Performance Metrics
  2. Cost Analysis
  3. Selection Strategy

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