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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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Jael Gu 7 months ago
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README.md

@ -41,3 +41,12 @@ The `towhee/torch-bert` Operator is based on Huggingface[2].
[1]. https://arxiv.org/pdf/1810.04805.pdf [1]. https://arxiv.org/pdf/1810.04805.pdf
[2]. https://huggingface.co/docs/transformers [2]. https://huggingface.co/docs/transformers
# More Resources
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- [Training Your Own Text Embedding Model - Zilliz blog](https://zilliz.com/learn/training-your-own-text-embedding-model): Explore how to train your text embedding model using the `sentence-transformers` library and generate our training data by leveraging a pre-trained LLM.
- [The guide to gte-base-en-v1.5 | Alibaba](https://zilliz.com/ai-models/gte-base-en-v1.5): gte-base-en-v1.5: specialized for English text; Built upon the transformer++ encoder backbone (BERT + RoPE + GLU)
- [Training Text Embeddings with Jina AI - Zilliz blog](https://zilliz.com/blog/training-text-embeddings-with-jina-ai): In a recent talk by Bo Wang, he discussed the creation of Jina text embeddings for modern vector search and RAG systems. He also shared methodologies for training embedding models that effectively encode extensive information, along with guidance o
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