#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
#XVS/USDT analysis :
#XVS has broken out above the 200 EMA and the previous swing high, exhibiting strong bullish momentum. The price is currently retracing and testing the support zone along with the 200 EMA. It is expected to retest this area and rebound, continuing its bullish momentum towards testing the swing high level.
TF : 4H
Entry : $7.60
Target : $9.33
SL : $6.84
#XVS/USDT analysis :
#XVS is in an uptrend, trading above the 200 EMA and consolidating over the support zone. The price is expected to bounce back from the support zone and test the previous highs.
TF : 4H
Entry : $7.42
Target : $8.05
SL : $7.00
#XVS/USDT analysis :
#XVS has recently broken out of the ascending triangle pattern on the LTF. Price is trading above the 200 EMA. It is expected to continue its bullish momentum and test previous swing highs.
TF : 2H
Entry : $6.98
Target : $7.59
SL : $6.64
#xvs
😭 Джастин Сан продал 621k XVS (Venus) за $1,95m с убытком ~$5,63m (-74%).
В январе 2024 года основатель Tron купил эти токены за $7,58m.
Ранее: атака на Venus
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