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🧭LLM Models in Practice

Six lessons on choosing and using the right LLM for the job. Get a clear-eyed view of the 2026 model landscape, learn to compare capabilities honestly, understand the open-vs-closed tradeoff, and stop optimizing for benchmarks that don't predict your task.

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Lessons in order

  1. 1
    AI
    The LLM Landscape in 2026: Who Makes What
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  2. 2
    AI
    Comparing LLM Capabilities: Reasoning, Code, Math, Multimodal
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  3. 3
    AI
    Open Weights vs Closed APIs: The Real Tradeoffs
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  4. 4
    AI
    Choosing the Right LLM for Your Use Case
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  5. 5
    AI
    LLM Pricing and Latency: What Actually Drives Cost
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  6. 6
    AI
    Interpreting LLM Benchmarks: What MMLU, GPQA, and SWE-bench Actually Measure
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