🔗 ← Class 5: Understanding LLM Performance - A Leader's Guide to Model Selection | Class 7: Context Engineering and Prompt Engineering →

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Resources

📄 Lesson PDF

📊 Slides PDF

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Video Lesson

https://youtu.be/QCLHyNRs-98

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Learning Objectives

By the end of this lesson, learners will be able to:

  1. Compare the six major commercial and open-source LLM platforms (ChatGPT, Claude, Gemini, Grok, Llama, DeepSeek) across performance, cost, and capability dimensions
  2. Analyze platform-specific strengths and weaknesses to determine optimal platform selection for different use cases
  3. Apply a systematic platform selection framework matching task requirements to platform capabilities
  4. Evaluate cost-performance trade-offs across pricing tiers to optimize budget allocation for LLM deployments

Introduction

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