From model training to deployment optimization: an AI engineer's career reflection

An AI engineer with a PhD describes moving from model training at a startup to network deployment at a FAANG company. He believes frontier LLMs now outdo him at proposing training ideas, while edge deployment knowledge is confidential and empirical, making LLMs less useful there; he sees the move as likely correct despite FOMO about training.

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