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Source channel @githubtrending · Post #14826 · Jun 12

#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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Venture Village Wall 🦄

@venturevillagewall · Post #3678 · 12/23/2024, 06:00 PM

DeSci Gains Momentum Amid Innovation Decentralized science (DeSci) is gaining traction with recent developments: 1️⃣Bio Protocol joins Binance Launchpool as the 69th project, focusing on decentralized science token launches. So far, 7 projects have raised $23M, with $7M allocated for research. More info here. 2️⃣Pump.science launches, allowing community-driven scientific experiments, starting with a longevity project. Their collaboration with Pulse will use health data metrics for future experiments. Learn more about Pump.science. 3️⃣ The Sci-Hub token has been introduced on pump.fun, providing access to scientific papers; the founder promotes purchasing the token to support open science. Token details here and Sci-Hub info here. While still niche compared to AI and meme coins, DeSci is attracting interest, paving the way for wider community involvement. Let's observe how DeSci progresses into 2025! #DeSci#BioProtocol#Binance#PumpScience#SciHub#Token#Research#Innovation#Web3#Community#HealthTech#Crypto#Launch#Investment#Experimentation#Longevity#OpenScience#Funding#Technology#Blockchain#Ethereum