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blog.nomic.ai | ||
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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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zackproser.com
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| | | | | Embeddings models are the secret sauce that makes RAG work. How are THEY made? | |
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unstructured.io
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| | | | | Navigate the Massive Text Embedding Benchmark (MTEB) leaderboard with confidence! Understand the difference between Bi-Encoders and Cross-Encoders, learn how text embedding models are pre-trained and benchmarked, and how to make the best choice for your specific use case. | |
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nik.art
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| | | On a catchup call, I told my friend Nick Wignall how someone had trained an AI model to write blog posts in my style. It was a pure research exercise on their part. The idea was to train the tool on my past work, then give it the headlines and opening paragraphs of my 2025 [...] | ||
