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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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@venturevillagewall · Post #3551 · 12/20/2024, 09:32 AM
Fraction AI Raises $6M Fraction AI successfully secured $6M in funding for its groundbreaking project aimed at democratizing access to high-quality training data for artificial intelligence using Web3 technology. The funding round concluded on December 18, 2024. #FractionAI#Funding#AI#Web3#TrainingData#TechInvestment#Innovation#DataDemocratization
@venturevillagewall · Post #3506 · 12/19/2024, 03:43 PM
$6M Raised by Fraction AI Decentralized AI data labeling platform Fraction AI has successfully secured $6M in a Pre-seed funding round. The round was spearheaded by The Spartan Group and Symbolic Capital, with notable participation from various investors including Borderless Capital and Anagram. #AI#Funding#Decentralized#DataLabeling#Investment#FractionAI#PreSeed#TheSpartanGroup#SymbolicCapital#BorderlessCapital#Anagram#ForesightVentures#MaskNetwork#Karatage#NextWebCapital#KosmosVentures#MHVentures#GenerativeVentures#OakGroveVentures#CogitentVentures