Understanding core ML concepts helps developers go beyond basic LLM API usage. While you can get value from simply chatting with models, you'll eventually hit a wall when trying to achieve specific outputs. At that point, having foundational ML knowledge becomes essential for debugging and reasoning about why a model produces certain outputs instead of others.
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