#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
⭐️ 15 Passive income #Ideas
1 Sell on Amazon
2 Rent out a room
3 Create a gaming app
4 Start an ATM business
5 Buy a vending machine
6 Invest in royalty income
7 Invest in dividend stocks
8 Buy & hold growth stocks
9 Invest in rental properties
10 Automate a shopify store
11 Grow a Youtube chennel
12 Start an influencer IG account
13 promote products as an affiliate
14 Create your own affiliate program
15 Save more with a high yield savings
✨news forex & Cryptocurrency✅
y aquí mi trabajo honesto <3 espero que les guste . Hoy hice mi prueba de español y me fue piola. Si quieren sugerir algún tipo de post soy todo oídos. #ideas
También aceptamos ideas y sugerencias, cambios de color, todo a tu gusto, porque recuerda que se acerca el mes del amor 🥂❤️ y la amistad 🥰
(Fotos tomadas de internet)
#ideas