CHAI Develops 32B Parameter Model for Social AI

CHAI has announced the successful training of a 32B parameter model aimed at enhancing social interactions, marking a significant advancement from its previous blending methodology.

CHAI has announced the successful training of a 32B parameter model designed to enhance social interactions, as stated in a press release. This development marks a significant shift from the company's previous 'blending' methodology, which combined responses from multiple smaller models to achieve superior performance.

The new model represents a strategic evolution in CHAI's approach to AI, moving from blending to a native foundational model specifically trained for social interactions. This advancement is part of CHAI's intensified AI research efforts in 2025, aiming to boost user engagement and maintain a competitive edge in the social AI landscape.

CHAI initially gained recognition for its innovative blending technology, which demonstrated that combining responses from smaller AI models could outperform single large models. The new 32B parameter model builds on this success, offering a more robust solution for dynamic and engaging social interactions.

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