#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
😄Place
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🔘 Place refers to a physical location.
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#Place👨🏫@America
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🆕 Crypto News @Money
😁 Crypto Game @Egame
🇺🇸 US News @America
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▶️ Popular Movies @Videos
😜 Best Funny Video @Funnys
@openmap_bot
Qué puede hacer este bot?
Este Bot puede enviar mapas y imágenes de satélite de todos los lugares de la tierra.
Idioma: Inglés
(visto en @BotsGram_cu)
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@junction_bot
Qué puede hacer este bot?
Este bot puede recopilar publicaciones de tus canales favoritos de Telegram, para que puedas leerlas como un servicio de noticias.
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