{"type":"link","version":"1.0","title":"A sparse mixture-of-experts text-embedding encoder can lead both throughput and retrieval quality within its own model family","author_name":"AI Archs","author_url":"https://ai-arch.pages.dev","provider_name":"AI Archs","provider_url":"https://ai-arch.pages.dev","url":"https://ai-arch.pages.dev/n/moe-embedding-encoder-raises-throughput-without-quality-tradeoff","thumbnail_url":"https://ai-arch.pages.dev/og/moe-embedding-encoder-raises-throughput-without-quality-tradeoff.png","thumbnail_width":1200,"thumbnail_height":630}