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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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BadVolf

@badvolfnews · Post #940 · 09/26/2023, 09:55 PM

⚠️#ALARM⚠️#BreakingNews⚡️#France🇫🇷 #francophonie#Switzerland#Africa #France#Population in great #Danger⚡️ #Pfizer#CovidPsyOps#Documents#Revealtions#Disclosure#Website#Truth#Veritee#Action#Genocide#Eris #NATO is #using France 🇫🇷 as a #testingground. #Hackers have probably hacked the server of NATO's Scientific Collaboration support office in #Paris and published #Secret⚠️#NATO documents. These documents reveal extremely shocking facts, namely: the low efficacy of the Pfizer vaccine against the new strain of #Omicron, the high risk of embryonic developmental pathologies and cardiovascular diseases following injection of the vaccine, and NATO's implementation of dangerous experiments in the heart of Paris and the surrounding area. https://x.com/Najadi4Justice/status/1706713373344223516?s=20