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Generación de Recuperación Aumentada (RAG, por sus siglas en inglés)
Los modelos de lenguaje de propósito general pueden ajustarse para realizar varias tareas comunes, como el análisis de sentimiento…
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Please clarify what GPT-4 models us used in the benchmark (4o or Turbo) and also, please add them both into the benchmark.
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Any hints for reproducing the example in Figure.7 in the paper CodeT5+: Open Code Large Language Models for Code Understanding and Generation?
Thanks in advance!
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Paper title: Active Retrieval Augmented Generation ([link to paper](https://arxiv.org/abs/2305.06983))
Estimated time to complete the review: by 08/28/23
If you are new to Manifold, here are some he…
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Adding retrieval to this plugin would be super powerful!
https://js.langchain.com/docs/get_started/introduction
Is something like this in the works? Potentially the chat interface could all for …
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in 📚Knowledge and Capability Evaluation -> Question Answering
RAGAS: Automated Evaluation of Retrieval Augmented Generation
[paper](https://arxiv.org/abs/2309.15217)
[RAGAS framework on github]…
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### Feature Request
As demonstrated in this video https://youtu.be/QMaWfbosR_E there is a potential to use Retrieval Augmented Generation to redirect LLM calls to our own functions for specific use c…
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Hi there. This model sounds interesting. I was wondering if it's possible to simply swap fo the purpose of testing. I'm not getting any replies from the model so far. I'm assuing it might have a speci…
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Cohere released the model "Command-R", a multilingual model optimized for long context tasks such as retrieval augmented generation (RAG) and using external APIs and tools.
Release note: https://t…
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Firecrawl is highly suitable for custom web Retrieval-Augmented Generation (RAG) pipelines due to its advanced features and flexibility. Here are the key highlights:
1. **Smart LLM Scraping**: Conv…