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In this episode of AI Now!, host Mike Stute from CCG explores the power of small language models. They discuss how techniques like model distillation allow smaller AI models to retain much of the knowledge and capability of their larger counterparts while being faster, more efficient, and capable of running on local hardware. The conversation highlights the advantages of smaller models in terms of speed, security, and accessibility, challenging the assumption that bigger always means better in AI.
In this episode of AI Now!, host Mike Stute from CCG explores the power of small language models. They discuss how techniques like model distillation allow smaller AI models to retain much of the knowledge and capability of their larger counterparts while being faster, more efficient, and capable of running on local hardware. The conversation highlights the advantages of smaller models in terms of speed, security, and accessibility, challenging the assumption that bigger always means better in AI.