Relying solely on a single large model for all tasks is a misconception; instead, different models should be utilized for specific applications to optimize costs and performance. Larger models are inherently more expensive and may not be necessary for simpler tasks, like language translation, where smaller, specialized models can suffice. The future lies in a mix of models functioning in a dynamic system, indicating ample opportunities for innovation and the growth of startups by leveraging diverse models and their capabilities.

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