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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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@ethereumglobalnews · Post #1290 · 11/05/2025, 02:58 AM
🤣#Balancer被 #Hack 逾 $1 億美元，疑為經驗豐富的駭客所為 #Ethereum#DeFi 鏈上分析顯示，攻擊者透過 100 ETH + Tornado Cash 為帳戶注資，未出現明顯的 OPSEC 漏洞。由於近期無類似規模的 Tornado 存入，推測該駭客可能動用了 過往攻擊所得資金。 💡#Insight 此事件凸顯 ETH 生態中 Tornado Cash 的持續風險，也顯示 DeFi 攻擊正進入「專業化長期策劃」階段。 ——— 👍@Web3NewsInsight 🥲 🥲Follow for more Web3 News 🤣
@spotonchain · Post #1324 · 11/03/2025, 10:14 AM
🚨 BREAKING: $117M in assets stolen from @Balancer in the last 2 hours after a major hack!!! 🔹 Assets stolen are across multiple chains: #Ethereum, #Base, #Optimism, #Sonic, #Polygon, #Berachain – mainly in Liquid Staking Tokens (LSTs) of $ETH. Top 5 stolen assets: • 7,838 $WETH (~$29.1M) • 6,841 $OSETH (~$26.8M) • 4,459 $WSTETH (~$20.1M) • 2,405 $SFRXETH (~$10M) • 2,038 $RSETH (~$8.67M) 🔹 The hacker is acting quickly: Converting LSTs into $ETH in real-time! 🔹 Big move: Whale account 0x009, dormant for 3 YEARS, just resurfaced after the exploit and withdrew $7.38M worth of assets from #Balancer! ⚠️ ALERT: If you’re still on #Balancer, secure your funds NOW before it’s too late! 🔐 Follow @spotonchain for more updates about the hack! https://x.com/spotonchain/status/1985289043383300351