#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
#MTL/USDT analysis :
#MTL is in an uptrend, consistently making new highs while finding support above the 200 EMA. After liquidating long positions, the price has reclaimed the 200 EMA and is now moving upward. It is expected that the price will maintain its bullish momentum and test higher levels.
TF : 15min
Entry : $1.529
Target : $1.589
SL : $1.488
#MTL/USDT analysis :
#MTL is currently in a downtrend, trading below the 200EMA. The price is consolidating sideways within a correction phase. It is expected that the bearish momentum will continue soon, potentially testing newer lows. For a short entry, wait for a pullback and retest of the zone.
TF : 1D
Entry : $1.047
Target : $0.765
SL : $1.223
#MTL/USDT analysis :
#MTL is presently consolidating above the support zone and the 200 EMA. It is expected to maintain its bullish momentum and retest the previous swing high.
TF : 2H
Entry : $0.977
Target : $1.035
SL : $0.938