#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
#DODO/USDT analysis :
#DODO is currently in a downtrend, trading below the 200 EMA. Following an impulsive move, a retracement is underway. Price is expected to revert from the current level and move upward to test previous highs and the 200 EMA. Wait for a pullback in price for a long entry.
TF : 30min
Entry : $0.1200
Target : $0.1304
SL : $0.1150
#DODO result
1st target achieved in just 9 hours✅
One more quick profit 8%💰🤑
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🌎 The dodo bird, once native to Mauritius, vanished by the late 17th century. Little was documented about its appearance or habits, leaving scientists puzzled. Recent studies of preserved bones and rare historical notes suggest the dodo was likely grayish with small wings and weighed up to 18 kilograms. ✨
#dodo⚡#extinction⚡#mysteries
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