#other
This book provides a systematic introduction to large language models (LLMs), covering topics like traditional language models, LLM architectures, prompt engineering, efficient parameter tuning, model editing, and retrieval-enhanced generation. It aims to be easy to read and rigorous, with monthly updates and a list of relevant papers. The book helps readers understand LLMs' principles and applications, making it beneficial for those interested in AI and NLP. It offers a structured learning path, which is useful for both beginners and advanced learners.
https://github.com/ZJU-LLMs/Foundations-of-LLMs
It might look a little confusing at first, but pay attention.
On this chart we have DXY, GOLD and BTC.
DXY, which is a representative chart of the USD, has an inverse relationship with GOLD and BTC.
This is because when the dollar is strong, big money moves into high interest bonds that are safe.
When the dollar weakens, big money moves into safe havens and riskier assets.
What we can firstly see on the chart is that every time DXY drops, GOLD almost instantly moves higher.
Secondly, we can see that BTC also moves higher, but it lags behind GOLD.
But that’s not the most interesting thing…
The most interesting thing here is that every single time DXY has entered a down trend, BTC has began its move between 133 days and 140 days later.
This time, that gives us an end of May date as to when BTC will begin its next true move higher.
It’s just facts, right there for you to see.
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