Nous Research empowers users with customizable agent models

Summary

A new set of guidelines has been proposed for developing personal agents, emphasizing user control and customization. Users should have the flexibility to select from smarter, cheaper, and local models for various tasks, as well as the ability to switch models during conversations. Additional features include controlling agent memory, running it on secure offline machines, and integrating with existing applications. Users should also have access to the underlying code for modifications and greater transparency regarding the agent’s actions. These suggestions aim to put more ownership in the hands of users when it comes to their personal agents.

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machine_learningtech

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