Embeddings: How AI Turns Words Into Numbers And Why The Model You Are Using Is Probably Wrong
中文摘要
开源模型在嵌入基准测试中超越了 OpenAI。Matryoshka 训练和二进制量化分别降低了 75% 和 99% 的存储成本。
English Summary
Open-source models are beating OpenAI in embedding benchmarks. Matryoshka training and binary quantization reduce storage costs by 75% and 99% respectively.
Original Excerpt
Open source just beat OpenAI on the standard benchmark. Matryoshka training cut storage costs by 75%. Binary quantisation cut them by 99%… Continue reading on Predict »