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Advancements in Models and Future Capabilities
The chapter explores the progress and potential future capabilities of models like chatbots, focusing on their ability to handle complex tasks independently, such as coding entire projects. It discusses the importance of model generalization, scalability in handling longer horizon tasks, and the implications of long horizon RL training on model performance. The conversation also covers limitations, challenges, and successful applications of language models in transferring knowledge across scenarios and languages.