#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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😄Nice
➖➖➖➖➖➖
🔘Nice has a positive meaning and can be similar to good, pleasant or enjoyable.
🔜 We had a really nice time with the monkeys at the zoo.
🔜 It was so nice to see you!
🔘 The negative is also common.
🔜 The weather isn't nice today. Take a coat with you.
🔘We use nice to describe people who are kind, polite or friendly.
🔜 He lent you his phone? What a nice guy.
🔜 I love seeing Susy. She's a really nice lady.
#Nice👨🏫@America
➖➖➖➖➖➖➖➖➖➖➖➖
🆕 Crypto News @Money
😁 Crypto Game @Egame
🇺🇸 US News @America
🇯🇵 Japan News @Japan
🇦🇪 UAE News @Dubai
▶️ Popular Movies @Videos
😜 Best Funny Video @Funnys