Meryem emphasized that while calling APIs like OpenAI’s seems straightforward, the complexities of efficiently serving and deploying LLMs require deeper understanding and expertise.
She highlighted that many people underestimate the challenges associated with LLM deployment, assuming it is simply a matter of accessing an API when, in reality, it involves significantly more nuance and technical considerations.
Through personal anecdotes and professional insights, Meryem illustrated how the understanding of LLM technology has evolved among peers, especially post-ChatGPT's rise in popularity.
The insights shared about TitanML’s infrastructure development reveal how critical it is to focus on optimization techniques to enhance LLM performance and reliability in deployments.
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