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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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@botsgram_cu · Post #3420 · 01/23/2021, 12:02 AM
@QuanBot Qué puede hacer este bot? Este es un bot avanzado para crear encuestas, agregar opciones y usar muchas herramientas. Idioma: Múltiple (visto en @BotsGram_cu) #group, #questions, #template, #poll, #publish, #choice, #inline, #community, #management, #administration, #voting, #vote, #votes, #survey
@botsgram_cu · Post #3190 · 11/27/2020, 09:21 AM
@ultimate_pollbot Qué puede hacer este bot? Este bot es un robot de votación y encuestas definitivo para crear, compartir y evaluar encuestas dentro de Telegram 🔎 Idioma: Inglés (visto en @BotsGram.cu) #choice, #forum, #comment, #inline, #community, #management, #administration, #groups, #vote, #votes, #poll, #decide, #decision, #question, #survey