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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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Libertà è ragione

@libertaeragione · Post #4456 · 03/12/2026, 11:21 AM

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#Elezioni#Thailandia Risultati definitivi: Affluenza: 71,43% (-4,28 rispetto al 2023) #BJT|Destra populista: 192 seggi (+121 rispetto al 2023) #PPLE|Centro-sinistra: 120 (-31) #PTP|Centro-destra populista: 74 (-67) #KT|Centro-destra localista: 58 (+58) #DP|Centro-destra: 21 (-4) Altri: 8 #TRP|Centro populista progressista: 6 (+4) #PPRP|Destra militarista: 5 (-35) #PCC|Centro: 5 (-4) #ECON|Estrema destra libertaria: 3 (+3) #TST|Conservatori progressisti: 2 (-4) #UTN|Destra militarista: 2 (-34) #NDPT|Centro-sinistra: 1 #NOP|Centro-destra monarchico: 1 (+1) #TLP|Centro anti-militarista: 1 #TPP|Estrema destra monarchica: 1 (+1) #TTPP|Centro-sinistra: 0 (-1) #PTC|Centro-destra localista: 0 (-1) #FA|Centro: 0 (-1) Totale seggi: 500 Maggioranza: 251 In foto, la mappa del voto. @OsservatorioEsteri

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