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Maithra Raghu | Does One Large Model Rule Them All?

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The past 10 years have seen a constant stream of AI advances, with each new wave of developments enabling exciting new capabilities and applications. The biggest such wave has undoubtedly been the recent rise of a single, general AI model, for example LLMs, which can be used for an enormous diversity of tasks, from code generation, to image understanding to scientific reasoning. These tasks are performed with such high fidelity that an entire new generation of technology applications is being defined and developed. While it’s thrilling to contemplate the potential impact, this runaway success does leave us with a deeply uncomfortable question about the future AI ecosystem: Will the future AI landscape be dominated by a single general AI model? Specifically, will the future AI landscape: With the release of models like ChatGPT and GPT-4 which have transformed our understanding on what AI can do, and the rising costs for developing such models, this has become a prevalent belief. We can

The past 10 years have seen a constant stream of AI advances, with each new wave of developments enabling exciting new capabilities and applications. The biggest such wave has undoubtedly been the recent rise of a single, general AI model, for example LLMs, which can be used for an enormous diversity of tasks, from code generation, to image understanding to scientific reasoning. These tasks are performed with such high fidelity that an entire new generation of technology applications is being defined and developed. While it’s thrilling to contemplate the potential impact, this runaway success

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