#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
🇪🇦#Spagna, elezioni in Castiglia e León: i popolari guidati dal presidente Alfonso Fernandez #Mañueco riconfermano il governo regionale. Sia i socialisti che Vox tengono a discapito dei provincialisti, oltre a Podemos e Ciudadanos che escono dal consiglio.
#PP (centrodestra): 35,5% (33 seggi)
#PSOE (centrosinistra): 30,7% (30)
#Vox (destra): 18,9% (14)
#UPL (regionalisti di León): 4,4% (3)
#XAV (provincialisti di Ávila): 0,9% (1)
#SY (provincialisti di Soria): 0,7% (1)
Affluenza: 59,7% (+0,9)