Bring multimodal semantic search to the edge with EmbeddingGemma 2

EmbeddingGemma 2 is a new 740M open-weight multimodal model that maps text, images, video, and audio into a unified vector space for privacy-first, on-device retrieval. Developers can easily integrate these capabilities cross-platform using MediaPipe Tasks or optimize fine-grained performance across CPU, GPU, and NPU accelerators with LiteRT. The... Weiterlesen: Bring multimodal semantic search to the edge with EmbeddingGemma 2