#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
#RAY/USDT analysis :
#RAY is currently consolidating within a flag pattern, indicating a potential continuation of its upward trend. A breakout above the $5.890 level could signal a move to higher price levels. Consider entering a long position upon confirmation of the breakout.
TF : 1D
Entry : $5.890
Target : $9.045
SL : $4.000
🔥$RAY
Entered this position as a speculative play within the SOLANA ecosystem. Monitor pullbacks carefully, manage entries with discipline, and always conduct your own due diligence before participating.
X: https://x.com/i/communities/2033099708164378981
Website: https://x.com/bbcworld/status/2033099192877429170?s=46
🔗 Contract: https://solscan.io/token/G7ydggVFm4RVTTsd3E8MWh7angBs78MTmZN3gVZPpump
https://dexscreener.com/solana/HAVxMaLK96qgiyRdvX4YVpjfajU49zWot4tdjxPesMrg
#RAY#SOLANA#TESLACALLS