<ul><li>Differentiable Adaptive Merging (DAM) is offering a new approach to model merging, addressing the complexity of the process.</li><li>Arcee, a company specializing in small language models, is leading research on DAM.</li><li>DAM adjusts the contribution of each model through scaling coefficients and optimizes the merge process using established machine learning techniques.</li><li>DAM performs competitively with existing methods and offers efficient merging of specialized models.</li></ul>

Differentiable Adaptive Merging is accelerating SLMs for enterprises

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