🌟 Cohere Embed v3, supporting int8 and binary embeddings - outperforms competitors in 18 languages (nDCG@10) while slashing memory costs by 100x—from $130k to $1,300 annually for 250 million embeddings 💫 Amazon Web Services (AWS) #AI #SemanticSearch #EmbeddingTechnology #MachineLearning
Amazon Bedrock now supports compressed embeddings from Cohere Embed. ☁️ https://go.aws/4eBniXm Cohere Embed is a leading text embedding model most frequently used to power RAG & semantic search systems. Compressed embeddings (int8 and binary) enable developers and businesses to build more efficient #generativeAI applications without compromising on performance. #AWS