Understanding AI Parameters
Large language models, like Gemini Ultra from Google, boast trillions of parameters, allowing for complex predictions and adaptability. In contrast, smaller models, such as Phi two and Llama, operate with billions of parameters, making them less versatile. The discussion highlights the significance of parameters in determining a model's capability and the challenges associated with training and maintaining these advanced systems.In this clip
From this podcast
Everyday AI Podcast – An AI and ChatGPT Podcast
EP 208: Small Language Models - What they are and do we need them?
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