#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
#Francia da por acabado el tratado de #UE con #Mercosur... una parte suprimible a bajo coste de una estrategia que mira en realidad hacia la incorporación de #Ucrania a la #UE y el fin de la #PAC
https://elpais.com/internacional/2024-01-30/francia-da-por-muerto-el-tratado-con-mercosur-mientras-los-agricultores-mantienen-la-protesta.html
#España#Agricultura#Ganadería. La #pequeñaburguesía agraria se moviliza para exigir que la #PAC se blinde de medidas de #proteccionismo#UE
https://www.europapress.es/economia/noticia-agricultores-ganaderos-toda-espana-protestaran-cordoba-ataques-recibe-sector-20230831102524.html