content.raw: We've been busy cooking up some interesting models at 
content.type: text
content.value: We've been busy cooking up some interesting models at 
content.raw: @jinaai
content.type: mention
content.user: jinaai
content.raw: , with a recent highlight being the release of our first batch of bilingual embedding models.
content.type: text
content.value: , with a recent highlight being the release of our first batch of bilingual embedding models.
content.type: new_line
content.type: new_line
content.raw: Internally labeled as 
content.type: text
content.value: Internally labeled as 
content.code: X+EN
content.raw: `X+EN`
content.type: inline_code
content.raw: , where X represents the target language and 
content.type: text
content.value: , where X represents the target language and 
content.code: EN
content.raw: `EN`
content.type: inline_code
content.raw:  stays fixed, these models specialize in both monolingual tasks and cross-lingual retrieval tasks, crossing from X to EN.
content.type: text
content.value:  stays fixed, these models specialize in both monolingual tasks and cross-lingual retrieval tasks, crossing from X to EN.
content.type: new_line
content.type: new_line
content.raw: You can find these models available on Huggingface:
content.type: text
content.value: You can find these models available on Huggingface:
content.type: new_line
content.raw: 1. German-English bilingual embedding: 
content.type: text
content.value: 1. German-English bilingual embedding: 
content.raw: https://huggingface.co/jinaai/jina-embeddings-v2-base-de
content.id: jinaai/jina-embeddings-v2-base-de
content.type: model
content.type: resource
content.url: https://huggingface.co/jinaai/jina-embeddings-v2-base-de
content.type: new_line
content.raw: 2. Chinese-English bilingual embedding: 
content.type: text
content.value: 2. Chinese-English bilingual embedding: 
content.raw: https://huggingface.co/jinaai/jina-embeddings-v2-base-zh
content.id: jinaai/jina-embeddings-v2-base-zh
content.type: model
content.type: resource
content.url: https://huggingface.co/jinaai/jina-embeddings-v2-base-zh
content.type: new_line
content.type: new_line
content.raw: We're also excited to announce that a Spanish bilingual embedding will be released in approximately two weeks.
content.type: text
content.value: We're also excited to announce that a Spanish bilingual embedding will be released in approximately two weeks.
content.type: new_line
content.type: new_line
content.raw: Our evaluation across various MLM tasks has demonstrated that the Bilingual Backbone consistently outperforms state-of-the-art Multilingual Backbones like XLM-Roberta (given its focus on just two languages).
content.type: text
content.value: Our evaluation across various MLM tasks has demonstrated that the Bilingual Backbone consistently outperforms state-of-the-art Multilingual Backbones like XLM-Roberta (given its focus on just two languages).
content.type: new_line
content.type: new_line
content.raw: Despite being three times smaller than the leading multilingual models (e5-multilingual-large), our released bilingual embedding models have shown superior performance compared to e5-multilingual-large, excelling in both monolingual and cross-lingual search tasks.
content.type: text
content.value: Despite being three times smaller than the leading multilingual models (e5-multilingual-large), our released bilingual embedding models have shown superior performance compared to e5-multilingual-large, excelling in both monolingual and cross-lingual search tasks.
content.type: new_line
content.type: new_line
content.raw: Currently, we're putting the finishing touches on the technical report, which should be available on Arxiv by next week.
content.type: text
content.value: Currently, we're putting the finishing touches on the technical report, which should be available on Arxiv by next week.
content.type: new_line
content.type: new_line
content.raw: Looking ahead, the embedding team is gearing up for 
content.type: text
content.value: Looking ahead, the embedding team is gearing up for 
content.code: jina-embeddings-v3
content.raw: `jina-embeddings-v3`
content.type: inline_code
content.type: new_line
content.raw:  with some initial groundwork already underway. Stay tuned for more updates!
content.type: text
content.value:  with some initial groundwork already underway. Stay tuned for more updates!
rawContent: We've been busy cooking up some interesting models at @jinaai, with a recent highlight being the release of our first batch of bilingual embedding models.
  
  Internally labeled as `X+EN`, where X represents the target language and `EN` stays fixed, these models specialize in both monolingual tasks and cross-lingual retrieval tasks, crossing from X to EN.
  
  You can find these models available on Huggingface:
  1. German-English bilingual embedding: https://huggingface.co/jinaai/jina-embeddings-v2-base-de
  2. Chinese-English bilingual embedding: https://huggingface.co/jinaai/jina-embeddings-v2-base-zh
  
  We're also excited to announce that a Spanish bilingual embedding will be released in approximately two weeks.
  
  Our evaluation across various MLM tasks has demonstrated that the Bilingual Backbone consistently outperforms state-of-the-art Multilingual Backbones like XLM-Roberta (given its focus on just two languages).
  
  Despite being three times smaller than the leading multilingual models (e5-multilingual-large), our released bilingual embedding models have shown superior performance compared to e5-multilingual-large, excelling in both monolingual and cross-lingual search tasks.
  
  Currently, we're putting the finishing touches on the technical report, which should be available on Arxiv by next week.
  
  Looking ahead, the embedding team is gearing up for `jina-embeddings-v3`
   with some initial groundwork already underway. Stay tuned for more updates!
reactions.reaction: 👍
reactions.users: KnutJaegersberg merve Dlbk osanseviero tomaarsen FremyCompany victor
reactions.reaction: ❤️
reactions.users: merve Dlbk osanseviero
commentators._id: 63732ebbbd81fae2b3aaf3fb
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1669551186189-63732ebbbd81fae2b3aaf3fb.jpeg
commentators.fullname: Knut Jägersberg
commentators.name: KnutJaegersberg
commentators.type: user