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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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@crypto_trish · Post #1121 · 11/15/2024, 10:29 AM
Знакомьтесь, Дмитрий Петров. Чайный Шоумэн! 🔘Амбасадор Движения в Здоровое Счастливое Долголетие. 🔘Амбасадор проекта ChaShow (500шоу за 5 лет). 🔘Фаундер ✈️Cyber Tea Multiverse и чайных крипто токенов: 💴#CHA 💎#TEA! Познакомились на TheTrends, решил поддержать его чайное движение, так как я и сам любитель китайских чаев.
@Ultimorapolitics24 · Post #51889 · 02/09/2026, 12:29 PM
🇪🇸#Spagna, elezioni in #Aragona: vittoria dei popolari guidati dalla presidente Jorge #Azcón. Continua il calo del #PSOE, #Vox raddoppia i seggi. #PP (centrodestra): 34,2% (26 seggi) #PSOE (centrosinistra): 24,3% (18) #Vox (destra): 17,9% (14) #CHA (regionalisti): 9,7% (6) #TE (provincialisti di Teruel): 3,6% (2) #IU-#Sumar (sinistra): 2,9% (1) Affluenza: 63,9% (-2,6) @UltimoraPolitics24