How Sakana AI’s new evolutionary algorithm builds powerful AI models without expensive retraining
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called Model Merging of Natural Niches (M2N2), overcomes the limitations of other model merging methods and can even evolve new models entirely from scratch. M2N2 can be applied to different types of machine learning models, including large language models (LLMs) and text-to-image generators. For enterprises looking to build custom AI solutions, the approach offers a powerful and efficient way to create specialized models by combining the…
