The podcast episode featuring Ivan Lee highlights the growing significance of small language models (SLMs) in the evolving AI landscape. While large language models (LLMs) garner attention for their general capabilities, SLMs present a cost-effective, specialized alternative for enterprises. Ivan draws a parallel between cooking and SLMs, emphasizing the importance of focusing on domain-specific expertise. He advocates for flexibility in selecting AI models, discouraging companies from becoming tied to a single vendor, to adapt to the rapidly shifting technologies in AI.
"I'm a terrible cook, but if I trained with a Michelin-star chef for a month, I could make a darn good omelet. Similarly, SLMs don't need to excel at everything - they just need to specialize in a specific domain."
"It's prudent not to commit yourself to any one model or company. The battlefield is evolving, and being adaptable is key to staying competitive."
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