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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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@venturevillagewall · Post #3568 · 12/20/2024, 09:33 AM
Lens Protocol Secures $31M Funding Lens Protocol has raised $31 million in a funding round on December 18, 2024. The platform is designed as an open social network, granting users ownership of their content and connections, while enabling developers to create applications within the network. #LensProtocol#Funding#SocialNetwork#Blockchain#Crypto#Web3
@venturevillagewall · Post #3432 · 12/18/2024, 02:37 PM
Aave Raises $31M for Lens Protocol Aave protocol developer secures $31M in a strategic funding round for Lens Protocol, spearheaded by Lightspeed Faction. Notable investors include Alchemy Ventures, Circle Ventures, and ConsenSys, among others. #Aave#LensProtocol#Funding#LightspeedFaction#AlchemyVentures#CircleVentures#ConsenSys#DigitalFinanceGroup#FabricVentures#ForesightVentures#Superscrypt#Re7Capital#WintermuteVentures#CaliberVentures#G20Group#BlockchainCoinvestors#BorderlessCapital#BodhiVentures#AlexGluchowski#AleksanderLarsen