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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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Venture Village Wall 🦄

@venturevillagewall · Post #3796 · 01/05/2025, 10:00 AM

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Funding Rounds and Crypto Insights 🔍Funding Highlights: 1️⃣Equator - $5M round focused on climate transition in Sub-Saharan Africa. 2️⃣Jentic Technology - $4.14M round for AI integration with APIs. 3️⃣Flint - $2M round inspired by nature. 4️⃣Neovici - $997.05K round for AI in finance. 5️⃣Sushidata - $150K round for user feedback analysis across platforms. ✨Michael Saylor plans to burn his Bitcoin after death, raising concerns among investors. 📈Holdstation sees over $10M in trading volume on ZKSync, expanding to Berachain. 📊Deribit reports strong BTC performance and ETF inflows. Full reports: ZKSync, Deribit Insights #Funding#Equator#Jentic#Flint#Neovici#Sushidata#MichaelSaylor#Bitcoin#BTC#Crypto#Trading#AI#Finance#ETFs#ZKSync#Innovation#Investors#Tech#VC

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#funding #equator #jentic #flint #neovici #sushidata #michaelsaylor #bitcoin #btc #crypto #trading #ai #finance #etfs #zksync #innovation #investors #tech #vc