Google AI Releases EmbeddingGemma: A 308M Parameter On-Device Embedding Model with State-of-the-Art MTEB Results Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” EmbeddingGemma is Google’s new open text embedding model optimized for on-device AI, designed to balance efficiency with state-of-the-art retrieval performance. How compact is EmbeddingGemma compared to other models? At just 308 million parameters, EmbeddingGemma is lightweight enough to run on mobile devices and offline… Read More »Google AI Releases EmbeddingGemma: A 308M Parameter On-Device Embedding Model with State-of-the-Art MTEB Results Asif Razzaq Artificial Intelligence Category – MarkTechPost