#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
#ONE/USDT analysis :
#ONE has broken out of the trendline following a bounce from the support zone, accompanied by a strong volume candle. The price is expected to continue its bullish momentum soon and test the previous highs. A potential gain of +1100% is anticipated from the current level.
TF : 1M
Entry : $0.03000
Target : $0.37897
SL : $0.02100
#ONE/USDT analysis :
#ONE is currently forming a structure of higher highs (HHs) and higher lows (HLs) above the 200 EMA. The price is anticipated to sustain its momentum and reach new highs. Wait for a pullback to enter long positions.
TF : 1H
Entry : $0.0113
Target : $0.0122
SL : $0.0108
#ONE/USDT analysis :
#ONE is currently consolidating sideways within the support and resistance zone. At the moment, the price is bouncing off the support zone and is expected to test the resistance zone.
TF : 4H
Entry : $0.0104
Target : $0.0110
SL : $0.0100
#ONE/USDT analysis -
#ONE is in a downtrend making lower lows (LLs) and lower highs (LHs). The price is currently facing resistance and is expected to be rejected from there, continuing its bearish momentum to test previous lows.
TF : 4h
Entry : $0.0150
Target : $0.0133
SL : $0.0162