#other#agent#llm#rag
Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research.
https://github.com/datawhalechina/happy-llm
#SIGN/USDT 🔥🔥
Leverage: Cross (10.00X)
Buy Zone: 0.0410–0.0450
TP1: 0.0505
TP2: 0.0558
TP3: 0.0615
TP4: 0.0690
TP5: 0.0780
SL: below 0.0375
From a fundamental perspective, $SIGN has seen increased market attention due to rising trading volume and liquidity on Binance, with strong recent growth performance over the past 30 days. Additionally, Binance has also launched a CreatorPad campaign for $SIGN recently, aiming to boost community engagement and user participation through reward-based activities, which can increase visibility and short-term trading momentum around the token.
🗣#Sign – Join the Potential Airdrop
Backed by $29M from Binance (Incubation), Sequoia, HashKey, and Circle.
What to do:
✔️ Visit the site
✔️ Go to “Profile” and click “Create Schema”
✔️ Randomly click through all fields
✔️ Mint in low-cost networks (Polygon costs ~0.01$)
🟠 Rewards: Potential airdrop
🟠 Deadline: TBA
🟠 Expenses: 0.01$ – 1$
🟠 Low costs but huge investment ($29M from top-tier funds).
☝️ Start trading on Bybit
Crypto Drop Club 👉 SUBSCRIBE