The computational notebooks for many of those advanced/deep topics is
what make them alive beyond the LLM hype and even showcasing when is
just oversized technology with pretty grounded rich alternatives.
What I would advice is more finding a community of practice to share the
lessons, difficulties and learning and to keep the motivation. This is
pretty old and more sustainable tech ;-).
Offray
On 30/11/24 10:46, HaveF HaveF wrote:
My next project is to study /all/of Brunton's videos,
starting with the differential equations.
This course looks good.
But, Edward, I would like to remind you that no matter what you are
learning now, you must study with LLMs. Whether it is chatgpt or
something else <https://lmarena.ai/?leaderboard>.
One disadvantage of text or video courses is that they are not
"alive". You can't discuss with him or translate it into your life
experience to understand, you can only understand it according to the
author's path.
The way I read some epub books now is, 1. Convert them to markdown
documents first, 2. Then throw them to AI, let it summarize the key
points chapter by chapter. When I find what details I want to know, I
keep asking it in depth. I know that LLMs often have hallucinations,
but it is much better than a rubber duck that doesn't talk back.
I even use it to read new papers, throw a pdf to AI and start a
discussion, fearless of any subject (as long as I am interested)
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