#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
COIN: $MOVE/USDT (5-10x)
Direction: SHORT 📉
#MOVE/USDT Take-Profit Target 3🎯
Profit : 25.71% with 10x Leverage
(PREMIUM SIGNAL)
Long or short doesn’t matter. What matters is we win.
t.me/BULLSTAR_ADMIN
We are excited to announce that @HaedalProtocol has officially completed the Sui smart contract audit conducted by @MoveBit_ , an expert and leading security firm on the #Move ecosystem.
https://twitter.com/HaedalProtocol/status/1696100358735733089?s=20
@everyone
#move#usdc
🎉 В Movement объявили о запуске собственного стейблкоина USDCx – анонс
USDCx обеспечен USDC в соотношении 1:1.
Ранее: L1-блокчейн от Movement
Crypto Headlines
📊 گزارش داده:
🚨 برترین #آزادسازی توکن ها در روز های آتی:
📌 بیشترین آزاد سازی ها:
🥇#SUI (۲۶۹ میلیون دلار)
🥈#OP (۵۸ میلیون دلار)
🥉#MOVE (۴۹ میلیون دلار)
🔽 آزاد سازیِ توکن در حجم هایِ بالا میتواند باعثِ کاهشِ قیمت و یا در بلند مدت مانع از رشدِ قیمت شود.
@ScorpionX_Co☑️