Moving LLMs from a notebook to production is hard. Going from a proof-of-concept to serving thousands of users with low latency requires deep LLM Inference Engineering—the ultimate skill gap in AI today.
Whether you're trying to cut GPU cloud costs or optimize time-to-first-token (TTFT), this playlist covers everything you need to know about production LLM deployment.
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Prasoon Mahawar
Prasoon Mahawar
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