#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
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#BAT/USDT analysis :
#BAT is in an uptrend, consistently making new highs while trading above the 200 EMA. Currently, the price is above the support zone and is expected to bounce back from this level, resuming its bullish momentum to test previous highs.
TF : 1D
Entry : $0.2250
Target : $0.2943
SL : $0.2027
#BAT/USDT analysis :
#BAT is presently consolidating within a channel. The overall trend on the larger timeframes indicates a bearish outlook, suggesting a potential breakout from the channel to continue moving downwards towards lower price levels. It is advisable to wait for a breakout of the channel and a decline below the $0.1564 level for a short position entry.
TF : 2H
Entry : $0.1564
Target : $0.1313
SL : $0.1640
#BAT/USDT analysis -
#BAT is currently in downtrend, trading below the 200 EMA. The price is in a pullback phase and is projected to test the resistance zone close to the 200 EMA before potentially dropping further to revisit the previous lows. It is recommended to await the price to test the zone before considering a short entry.
TF : 4h
Entry : $0.1970
Target : $0.1728
SL : $0.2067