Bigger Isn't Always Better: Why Enterprise AI is Turning to Smaller, Sovereign Models | Utilizing AI Episode 39

Not every task demands a multi-trillion parameter model with massive a context window, and we are seeing increasing success with small models designed with efficiency in mind. This episode of Utilizing AI features Nick Patience and Brad Shimmin of The Futurum Group discussing the push and pull between frontier models and small domain-specific models. Quantization, novel open weights models, and even local models give us all sovereignty over our data, at least to some extent. They also give us financial control, an increasingly important concern as AI service providers are charging increasingly