#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
Matter exists in different states:
● Solid – fixed shape and volume, particles tightly packed.
● Liquid – fixed volume, no fixed shape, particles slide past each other.
● Gas – no fixed shape or volume, particles far apart.
● Plasma – like gas but particles are charged.
● Glass – between solid and liquid, amorphous.
● Superfluid – liquid with no resistance near absolute zero.
● Bose-Einstein Condensate – particles act as one quantum entity.
● Fermionic Condensate – similar to Bose-Einstein but formed by fermions.
● Dropleton – quantum liquid of electrons and holes.
● Degenerate Matter – exists under extreme pressure inside stars or planets.
Matter changes state when energy is added or removed.
[Source]
https://t.me/googlefactss
@googlefactss🔬🌡️#Science#Matter#Physics#Education