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Source channel @githubtrending · Post #14993 · Jul 24
#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch
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@CetusProtocol · Post #11 · 10/18/2022, 01:47 PM
Aptos Mainnet has arrived! To celebrate this, we are hosting a Giveaway of 300 XP and 5 OG roles to 5 winners🔥@everyone 👉RT+tag 3 friends+Comments👀 Cetus is building the most capital-efficient #DEX and #CLMM protocol in the #AptosEcosystem. We are proud to be part of it👍 https://twitter.com/CetusProtocol/status/1582361041790717953 @everyone
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@CetusProtocol · Post #3 · 09/23/2022, 08:51 AM
Cetus Alpha Version is now LIVE on #Aptos devnet Come to try an initial AMM demo of Cetus！More powerful functions are on the way🚀 👉app.cetus.zone #Cetus#AptosEcosystem#LFM https://twitter.com/cetusprotocol/status/1573232781161017344?s=21&t=kWJwrmbRJraDPtB6lhKZHQ
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@CetusProtocol · Post #84 · 02/03/2023, 07:43 AM
Become an APTOS and SUI supporter and reach new peaks⛰ Go to Galxe 👇 https://galxe.com/apstation/campaign/GCLYeU42e1… #Aptos#Galxe#AptosEcosystem#Sui#SuiEcosystem https://twitter.com/CetusProtocol/status/1621413895578726400?s=20&t=idtvF7UcG6zXWiw2NhUUdA @everyone