Reposted by bo
I applied LLMs for query expansion and we wrote this article:
It sees to work out-of-the-box and generally boost the performance of embedding models. However, it requires more latency. Would be interesting to see more about this.
📃: jina.ai/news/query-e...
🛠️: github.com/jina-ai/llm-...
It sees to work out-of-the-box and generally boost the performance of embedding models. However, it requires more latency. Would be interesting to see more about this.
📃: jina.ai/news/query-e...
🛠️: github.com/jina-ai/llm-...
Query Expansion with LLMs: Searching Better by Saying More
Search has changed a lot since embedding models were introduced. Is there still a role for lexical techniques like query expansion in AI? We think so.
jina.ai
February 18, 2025 at 8:29 AM
I applied LLMs for query expansion and we wrote this article:
It sees to work out-of-the-box and generally boost the performance of embedding models. However, it requires more latency. Would be interesting to see more about this.
📃: jina.ai/news/query-e...
🛠️: github.com/jina-ai/llm-...
It sees to work out-of-the-box and generally boost the performance of embedding models. However, it requires more latency. Would be interesting to see more about this.
📃: jina.ai/news/query-e...
🛠️: github.com/jina-ai/llm-...
Reposted by bo
Our submission to ECIR 2025 on jina-embeddings-v3 has been accepted! 🎉
At the ECIR Industry Day my colleague @str-saba.bsky.social presents how we train the latest version of our text embedding model.
More details on ECIR: ecir2025.eu
More details about the model: arxiv.org/abs/2409.10173
At the ECIR Industry Day my colleague @str-saba.bsky.social presents how we train the latest version of our text embedding model.
More details on ECIR: ecir2025.eu
More details about the model: arxiv.org/abs/2409.10173
47th EUROPEAN CONFERENCE ON INFORMATION RETRIEVAL – 47th EUROPEAN CONFERENCE ON INFORMATION RETRIEVAL
ecir2025.eu
December 16, 2024 at 4:18 PM
Our submission to ECIR 2025 on jina-embeddings-v3 has been accepted! 🎉
At the ECIR Industry Day my colleague @str-saba.bsky.social presents how we train the latest version of our text embedding model.
More details on ECIR: ecir2025.eu
More details about the model: arxiv.org/abs/2409.10173
At the ECIR Industry Day my colleague @str-saba.bsky.social presents how we train the latest version of our text embedding model.
More details on ECIR: ecir2025.eu
More details about the model: arxiv.org/abs/2409.10173
Reposted by bo
@bowang0911.bsky.social showed me this cool paper that I'd never read before, about Masked Autoencoder (MAE) for images. The idea: an image encoder encodes non-masked patches, followed by a decoder using the non-masked and masked embeddings to regenerate the original image arxiv.org/abs/2111.06377
Masked Autoencoders Are Scalable Vision Learners
This paper shows that masked autoencoders (MAE) are scalable self-supervised learners for computer vision. Our MAE approach is simple: we mask random patches of the input image and reconstruct the mis...
arxiv.org
December 3, 2024 at 2:13 PM
@bowang0911.bsky.social showed me this cool paper that I'd never read before, about Masked Autoencoder (MAE) for images. The idea: an image encoder encodes non-masked patches, followed by a decoder using the non-masked and masked embeddings to regenerate the original image arxiv.org/abs/2111.06377
Reposted by bo
I'm looking for an intern to introduce Sparse Embedding models to Sentence Transformers! If you're passionate about open source, interested in helping practitioners use your tools, and enjoy embedders/retrievers/rerankers, then I'd love to hear from you!
Links with details and to apply in 🧵
Links with details and to apply in 🧵
November 27, 2024 at 2:31 PM
I'm looking for an intern to introduce Sparse Embedding models to Sentence Transformers! If you're passionate about open source, interested in helping practitioners use your tools, and enjoy embedders/retrievers/rerankers, then I'd love to hear from you!
Links with details and to apply in 🧵
Links with details and to apply in 🧵
Reposted by bo
It's pretty sad to see the negative sentiment towards Hugging Face on this platform due to a dataset put by one of the employees. I want to write a small piece. 🧵
Hugging Face empowers everyone to use AI to create value and is against monopolization of AI it's a hosting platform above all.
Hugging Face empowers everyone to use AI to create value and is against monopolization of AI it's a hosting platform above all.
November 27, 2024 at 3:23 PM
It's pretty sad to see the negative sentiment towards Hugging Face on this platform due to a dataset put by one of the employees. I want to write a small piece. 🧵
Hugging Face empowers everyone to use AI to create value and is against monopolization of AI it's a hosting platform above all.
Hugging Face empowers everyone to use AI to create value and is against monopolization of AI it's a hosting platform above all.
