#jupyter_notebook
Unsloth is a tool that makes it much faster and easier to fine-tune large language models like Llama, Mistral, and Gemma, even on regular computers or single GPUs. It uses smart tricks to speed up training by 2 to 5 times and cuts memory use by up to 70%, so you can train models quickly without needing expensive hardware[1][3][4]. The benefit is that anyone—developers, researchers, or AI fans—can create custom AI models for different tasks, from chatting to vision, in less time and with less hassle, using ready-made notebooks and guides for popular models[3][5].
https://github.com/unslothai/notebooks
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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