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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 #39571 · 05/16/2022, 09:55 PM

#Elezioni#Libano 99 seggi assegnati su 128: Per coalizioni: Alleanza dell'8 marzo (#FPM-#Amal-#Hezbollah-#Marada-#ARF-#PNO-#UP-#Baath)|Grande tenda pro-Siria: 47 seggi Alleanza del 14 marzo (#LF-#Kataeb-#IM-#Taqaddm)|Grande tenda anti-Siria: 28 Indipendenti: 11 Altri (#PSP-#NLP-#TW-#Sabaa-#ReLebanon-#Osos): 11 @UltimoraPolitics

Ultimora.net - POLITICS

@ultimoraPOLITICS · Post #39570 · 05/16/2022, 09:40 PM

#Elezioni#Libano 99 seggi assegnati su 128: #LF|Destra cristiana: 19 seggi #FPM|Grande tenda cristiana maronita: 14 #Amal|Centro-destra populista islamico: 13 Indipendenti: 13 #Hezbollah|Islamici: 12 #PSP|Centro-sinistra druso: 6 #Kataeb|Centro-destra cristiano maronita: 6 #ARF|Sinistra armena: 3 #Marada|Destra cristiana maronita: 2 #Taqaddm|Centro-sinistra: 2 #UP|Nasseristi: 1 #PNO|Sinistra araba: 1 #NLP|Centro-destra cristiano maronita: 1 #TW|Centro: 1 #Sabaa|Centro-sinistra: 1 #ReLebanon|Centro-destra: 1 #Baath|Neo-Ba'thisti: 1 #Osos|Centro: 1 #IM|Centro-destra sovranista secolare: 1 @UltimoraPolitics