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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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@TruthGraphs · Post #3505 · 01/15/2025, 02:25 PM
Immigration doesn't solve population aging, EU version. Demographic scenarios for the EU: Migration, population and education https://www.researchgate.net/publication/333641956_Demographic_scenarios_for_the_EU_Migration_population_and_education ---------------------------------------------------- #immigration#europe#aging
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@TruthGraphs · Post #3504 · 01/13/2025, 04:36 AM
Immigrants don't solve population aging https://x.com/arctotherium42/status/1877013161938682127 https://archive.is/i4HKE ---------------------------------------------------- #age#aging#immigration
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@venturevillagewall · Post #3643 · 12/21/2024, 10:23 AM
HERVs Targeted Immunotherapy Funding HERVolution Therapeutics raises $11.70M for innovative immunotherapies targeting HERVs, linked to cancer and aging-related diseases. Learn more #HERVolution $11.70M #Immunotherapy#Cancer#Aging#MetabolicDiseases#Funding