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About the project
It pairs pretrained language models with a custom network that maintains memory, emotional state, and a persistent identity across sessions. The sections below explain how it works.
How the system is built: two language models for conversation and code, coordinated with a custom network.
Read moreThe layer that gives Nero continuity — memory, values, and a consistent sense of self between sessions.
Read moreText-to-speech that adjusts its delivery based on the system's current emotional state.
Read moreOther work by Hanish Chowdary across AI, biotechnology, and physics.
Read more