Introducing "Training Data," a new podcast from Sequoia about the future of A.I.
Crucible Moments
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Enhancing User Experience for Language Models and Agents
The chapter delves into the importance of User Experience (UX) in optimizing interactions with Language Models (LMs) and agents, focusing on improving efficiency and correcting mistakes. Various user experience patterns and features, such as modifying instructions and collaboration with agents, are discussed, along with the significance of user feedback for agent learning. Additionally, the conversation explores the architecture of systems learning from feedback, challenges in the developer community with large language models, and the potential future infrastructural needs for agents in the AI ecosystem.
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