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The CDE model is incredibly powerful, as it naturally integrates "context tokens" into the embedding process. As of October 1st, 2024, the cde-small-v1 stands as the top-performing small model (under …
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Anthropic's Contextual Retriaval seem to improve results significantly.
See here https://github.com/anthropics/anthropic-cookbook/blob/main/skills/contextual-embeddings/guide.ipynb
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![Screenshot 2024-09-20 at 2 56 56 PM](https://github.com/user-attachments/assets/79803b44-fef3-45e4-984f-3ed84a5f8141)
https://github.com/anthropics/anthropic-cookbook/blob/main/skills/contextual-…
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Hi,
I really like your project as it provides an easy-to-use approach. I have been thinking that since the new Llama 3.1 is multilingual, could this approach also be used in that way? As we are on…
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Hi,
there is this recent ACL paper https://arxiv.org/abs/1905.08704 which has AMR parsing SOTA results (76 F1 Smatch). However it uses contextual embeddings and some other powerful mechanisms (copy…
ghost updated
5 years ago
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Are these embeddings Contextualized Embeddings ?
Contextualized Embeddings are embeddings such as in Transformers.
Contextualized Embeddings are able to generate different vector representations f…
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### Description
Hi Team,
I’m running into an issue when attempting to execute tasks using the Groq model (``groq/llama-3.1-70b-versatile`` ) with version 0.67.1 of the CrewAI library. The API key …
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### Issue
Hey! *I work at exa*. https://exa.ai
I have been experimenting with Aider for a few days and I think it could benefit from Exa web-search integration.
Exa does semantic search + retu…
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### What features would you like to see added?
The current system requires an optimized Embeddings Database (DB) that incorporates court data to support Retrieval-Augmented Generation (RAG) process…
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Is it possible to use BERT based contextualized word embeddings along with the nmt implementation? I want to take advantage of the pretrained BERT language model so the NMT weights can be leveraged mo…