The AI Revolution
AI is here, but still, it is quite expensive
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We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.
Source: OpenAI. (2023, March 14). GPT-4. Openai.com.
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GPT-3, was initially trained on 45 terabytes of data and employs 175 billion parameters or coefficients to make its predictions; a single training run for GPT-3 cost $12 million.
Wu Dao 2.0, a Chinese model, has 1.75 trillion parameters. Most companies don’t have the data center capabilities or cloud computing budgets to train their own models of this type from scratch.
Source: Davenport, T. H., & Mittal, N. (2022, November 14). How Generative AI Is Changing Creative Work. Harvard Business Review. https://hbr.org/2022/11/how-generative-ai-is-changing-creative-work