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The Future of AI: Accessibility of Transfer Learning and Fine-tuning
The chapter discusses the prediction for the next year in AI, focusing on the accessibility of transfer learning and fine-tuning. They speculate that fine-tuned models will make up a significant percentage of all GPD calls, emphasizing the importance of task-specific models over general intelligence. The conversation also mentions the possibility of a more distributed landscape in terms of applications and discusses OpenAI's functionality and potential future releases.