#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
#IOTX/USDT analysis :
#IOTX is currently retracing towards the 200 EMA. The price is anticipated to retest the 200 EMA before continuing its bearish momentum. The current level presents a good opportunity for a long entry, as the 200 EMA is expected to be tested.
TF : 1h
Entry : $0.01860
Target : $0.01973
SL : $0.01790
#IOTX/USDT analysis :
#IOTX is currently bouncing back from the trendline and the 200-period exponential moving average (EMA). This price action suggests a potential upward movement, with expectations to test previous swing high levels. The confluence of the trendline and the 200 EMA provides a strong support area, indicating a bullish outlook for IOTX in the near term.
TF : 4H
Entry : $0.04435
Target : $0.05164
SL : $0.04042
#IOTX/USDT analysis :
#IOTX is currently consolidating sideways near the resistance zone. It is expected to continue its bearish momentum and test the previous swing low.
TF : 2H
Entry : $0.0332
Target : $0.0284
SL : $0.0358
#IOTX/USDT analysis -
#IOTX be currently rejecting from the rejection zone after forming a lower low. It be expected to decline from there and be testing the previous low. A stop loss will be placed above the rejection zone for risk management.
TF : 4h
Entry : $0.0395
Target : $0.0372
SL : $0.0409