Explore >> Select a destination
|
You are here 
|
www.nomic.ai | ||
| | | | |
qwenlm.github.io
|
|
| | | | | 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. | |
| | | | |
blog.nomic.ai
|
|
| | | | | Nomic releases a 8192 Sequence Length Text Embedder that outperforms OpenAI text-embedding-ada-002 and text-embedding-v3-small. | |
| | | | |
zackproser.com
|
|
| | | | | Embeddings models are the secret sauce that makes RAG work. How are THEY made? | |
| | | | |
a16z.com
|
|
| | | A curated list of resources we've relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models. | ||
