#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
#CAKE/USDT analysis :
#CAKE has retraced and tapped the previous resistance zone, which is now support for the price. Bullish momentum is expected from the current level. Wait for the price to bounce back and break out of the $2.614 level to go long, with the previous swing high as the target level.
TF : 1D
Entry : $2.614
Target : $4.180
SL : $1.992
#CAKE/USDT analysis :
#CAKE is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs) above the 200 Exponential Moving Average (200EMA). The price is anticipated to undergo a retracement and test a support zone before resuming its bullish momentum. A new high is likely to be established soon.
TF : 15min
Entry : $2.033
Target : $2.091
SL : $2.004