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Struggling to improve your model's performance without increasing its size, even after exhaustive data scraping and architectural tweaks? If you have access to a larger, well-performing model and the resources to train it, knowledge distillation could be the answer. This technique leverages a strong model to guide the training of a smaller one, leading to improved learning and faster convergence. This presentation offers a brief overview of knowledge distillation and its key benefits.
Subscribe to Google for Developers → https://goo.gle/developers
Speakers: Morgane Rivière
Products Mentioned: Gemma
Subscribe to Google for Developers → https://goo.gle/developers
Speakers: Morgane Rivière
Products Mentioned: Gemma
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