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Source channel @githubtrending · Post #14826 · Jun 12

#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

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Ultimora.net - POLITICS

@UltimoraPOlitics · Post #38712 · 05/07/2022, 01:50 PM

#Sondaggi#Francia#PACA Sondaggio di Harris Interactive in Provenza-Alpi-Costa Azzurra: scenario: larghe coalizioni #RN-#Reconquête-#DLF|ID: 38% #Ensemble (#LREM-#MoDem-#Agir-#TDP-#Horizons-#Rad-#EnCommun-#FP)|RE: 31% #NUPES (#LFI-#PS-#EELV-#PCF-#PG-#Ensemble-#REV-#Picardie-#Gs-#GE-#ND-#PP)|LEFT|S&D|G/EFA: 25% #LO/#NPA|Estrema sinistra|LEFT: 2% Altri: 4% Data rilevazione: 26-29 aprile Intervistati: 933 @UltimoraPolitics

Ultimora.net - POLITICS

@UltimoraPOlitics · Post #38711 · 05/07/2022, 01:44 PM

#Sondaggi#Francia#PACA Sondaggio di Harris Interactive in Provenza-Alpi-Costa Azzurra: #RN|ID: 30% #Ensemble (#LREM-#MoDem-#Agir-#TDP-#Horizons-#Rad-#EnCommun-#FP)|RE: 21% #LFI (#PG-#Ensemble)|LEFT: 14% #Reconquête|Estrema destra: 10% #LR-#UDI-#LC|EPP|RE: 8% #PÉ (#EELV-#Gs-#GE-#MdP-#ND-#CE)|G/EFA: 7% #PS/DVG|S&D: 5% #PCF|LEFT: 2% #LO/#NPA|Estrema sinistra|LEFT: 1% #DLF|Destra radicale: 1% Altri: 1% Data rilevazione: 26-29 aprile Intervistati: 933 @UltimoraPolitics