Per-Layer Embeddings (PLE) in Gemma 4 explained

Learn how per-layer embeddings, or PLE, work in Gemma 4 E2B and E4B, Google's open source language model. Google DeepMind’s Maarten Grootendorst breaks down how PLE gives each token a layer-specific embedding for more diverse representation, boosting model performance without increasing the parameters used during computation. Subscribe to Google for Developers → https://goo.gle/developers Products Mentioned: Gemma 4 Speaker: Maarten Grootendorst