#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
#WOO/USDT analysis :
#WOO is currently trading within a channel, and a retracement to the 200 EMA is pending. The price is likely to move upward and test the previous swing high resistance, with expectations for continued upward movement.
TF : 1D
Entry : $0.1629
Target : $0.2186
SL : $0.1469
#WOO Failure Swing Detection 👇
The chart fully and automatically generated by our algorithm.
All drawings are based on only mathematical values and calculations instead of emotions.
Interested?
www.coinlegs.com
#WOO bounced back from the Weekly Trendline and now hitted the Supply zone,in the case of breakout we will see another pump.🚀
otherwise wait to see the price reaction to the trendline again.👀
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#WOO/USDT UPDATE:
#WOO is now trading around 0.45$. #WOO has broken down of a bear flag on hourly time frame. Now the Possible scenario is according to the pattern, we can see 10-20% dump in this. Keep eye on it 👀Stay tuned with us for further updates✔️
#WOO/USDT UPDATE:
#WOO is now trading around 0.454$. $WOO has formed a bear flag pattern on the hourly time frame. So the Possible scenario is If the price dumps and breaks down the pattern, we can see a dump in it. Keep eye on it👀. Stay tuned with us for further updates✔️