#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
#LPT is consolidating within a falling wedge pattern and is currently trading above the support trendline.
A bounce from this level is possible, while a breakout of the pattern would confirm bullish momentum.
Conversely, a breakdown below the wedge could lead to further correction.
#LPT/USDT analysis :
#LPT is currently experiencing a bearish trend, trading below the 200 Exponential Moving Average (EMA). The price has encountered resistance at the 200 EMA and has broken below the established trendline, suggesting further downward momentum. A decline to test the swing low level is anticipated.
TF : 2h
Entry : $5.423
Target : $4.883
SL : $5.740
#LPT/USDT analysis :
#LPT has broken down and retested the previous support zone, which is now acting as resistance for the price. It is anticipated that the price will resume its bearish momentum from the current level and test lower levels. For a short entry, it is advisable to wait for a price retracement.
TF : 1H
Entry : $13.76
Target : $12.78
SL : $14.36
#LPT/USDT analysis :
#LPT is currently consolidating sideways in a correction phase above the 200 EMA. The price is likely to test the support zone and then bounce back from there to test the resistance zone.
TF : 1H
Entry : $14.60
Target : $15.30
SL : $14.25