Why most professionals are using LLMs wrong, and what to do about it
Large language models are no longer a curiosity, they are infrastructure. But understanding how they actually work is the difference between a power user and an expensive button-clicker.
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What a model actually does: prediction, not understanding
Hallucinations: why confident answers can be wrong
Tokens, training, and inference: what happens when you hit enter
The context window: the model's working memory
Verifying outputs: trust but check
Full transcript: https://www.mba-training.com/en/podcast/ai/llm-foundations-professionals-strategic-use
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