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www.mixedbread.ai | ||
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saeedesmaili.com
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| | | | | Recently, I've been working on a side project where I use OpenAI's text-embedding-ada-002 model to generate vector embeddings for text snippets. While this model is inexpensive, the cost can add up when dealing with thousands or millions of text snippets. Therefore, I decided to explore alternatives, particularly those that would allow me to run similar models locally instead of relying on OpenAI's API. In this post, I'll share my experience using the sentence-transformers library for this purpose and discuss the pros and cons. | |
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qwenlm.github.io
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| | | | | GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen3 Embedding series, a new proprietary model of the Qwen model family. These models are specifically designed for text embedding, retrieval, and reranking tasks, built on the Qwen3 foundation model. Leveraging Qwen3's robust multilingual text understanding capabilities, the series achieves state-of-the-art performance across multiple benchmarks for text embedding and reranking tasks. We have open-sourced this series of text embedding and reranking models under the Apache 2. | |
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garrit.xyz
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| | | | | Generalist software developer writing about scalable infrastructure, fullstack development and DevOps practices. | |
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www.windowscentral.com
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| | | OpenAI's $500B valuation could give Microsoft a 30% equity stake in the new for-profit business, potentially the most profitable tech investment ever. | ||
