#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
🛰️ Flags of the #Kaliningrad Region and the City of Zelenogradsk are back from #ISS🌍 to be later exhibited in #Kaliningrad Regional Museum of History and Arts.
📸 by the Museum
🚀🌍Le commandant de l'ISS et envoyé spécial de TASS à bord, Sergueï Koud-Svertchkov, a montré des images du vaisseau spatial Crew Dragon approchant de la station.
#iss#espace
LIVE: Farewells, hatch closing for Soyuz MS-18 crew on ISS
Farewells and hatch closing for the Soyuz MS-18 crew on the International Space Station.
#Reuters#Live#News#Space#ISS
➖@reutersworldchannel➖
🇷🇺🛰️ Le vaisseau cargo Progress MS‑32 s’est désamarré du module Zvezda du segment russe de la Station spatiale internationale (ISS) avant l’arrivée d’un nouveau cargo, montre la retransmission de Roscosmos.
#russie#vaisseau#iss