#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
#RIF/USDT analysis :
Following a significant decline of -83% from its all-time high, the price has found support at the $0.0600 level. Subsequently, it has bounced back and successfully broken above the trendline, indicating a confirmation of anticipated bullish momentum. It is expected that the price will continue this upward trajectory and test the previous swing high.
TF : 1W
Entry : $0.1117
Target : $0.3377
SL : $0.0766
#RIF/USDT analysis :
#RIF is trading above the support zone and the 200 EMA. The price is anticipated to rebound from this level and proceed to rise, testing the previous swing high.
TF : 15min
Entry : $0.0977
Target : $0.1007
SL : $0.0956
#RIF yielded an impressive 3,010% return in a few days ⭐
If you used 200x leverage on this signal, you would've made a mind-blowing profit of 12,040%🤩
$50💰 would return $750💵
$50 💰 would return $1,500
💲
$50💰 would return $6,000💰
When you understand the market like we do, every move becomes predictable With 5+ years of trading experience, we spot these moves before they happen 💯
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@Kevindexter✅
#RIF
I'm expecting roughly this kind of movement on this asset, either with streaming start ups behind our magnets from above.
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