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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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@tradeandinvest_ann · Post #538 · 08/25/2022, 03:42 PM
🎙The devs behind @CryowarDevs are coming to #gamescom2022, bringing you a first-hand gameplay experience of the #UE5 game! 👉 Check out Cryowar at Gamescop:https://www.gamescom.global/en 👉 Follow Cryowar:https://twitter.com/CryowarDevs 👉 Follow Gamescop:https://twitter.com/gamescom #aheadofthegame#cryowar
@tradeandinvest_ann · Post #406 · 12/08/2021, 03:40 AM
We are super happy to announce that #Cryowar is releasing Technical Beta Version 1.0. 250 fellow #Cryowarriors from our #BestCommunityEver will have initial access to review our amazing #UnrealEngine designs and mechanics. Stay tuned for further information next week! $CWAR #Moon
@tradeandinvest_ann · Post #421 · 12/31/2021, 10:12 AM
🎙Our 100x project announcement🔥🔥🔥 🤌 Probably best project 2021 and 2022 Team working on NFT fast and here is some updates of work, check it 👉here👈 Our Fellow Cryowarriors, ⚔️⚔️⚔️ A little #CWARistmas sneak peak $CWAR #Cryowar#NFTs#NFT#BestCommunityEver🔥🔥🔥🔥 #CWAR