#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
#FIO/USDT analysis :
#FIO is in an uptrend, forming higher highs (HHs) and higher lows (HLs) while trading above the 200 EMA. The price has broken out and retested the previous swing high resistance levels. It is expected to bounce back from this point and continue its bullish momentum to test the recent swing high.
TF : 1D
Entry : $0.0305
Target : $0.0417
SL : $0.0270
#FIO/USDT analysis :
#FIO is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs), while finding support above the trendline. The price is anticipated to rebound from the current level to sustain its bullish momentum and test new highs.
TF : 4h
Entry : $0.0259
Target : $0.0300
SL : $0.0238
#FIO/USDT analysis :
#FIO is currently experiencing a decline from the resistance zone following rejections in that region. It is anticipated to maintain its downward momentum and possibly test previous lows.
TF : 4H
Entry : $0.0198
Target : $0.0162
SL : $0.0210