#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
#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