just a chill guy
he/him
21yo
studying ai
poxi.io/@samurai4
youtu.be/DR8fHT31aPA?...
youtu.be/DR8fHT31aPA?...
To me, the most important are:
Read often, read broadly (incl. older papers and outside your field), and learn to read some papers in detail and others more superficially (and quickly)
To me, the most important are:
Read often, read broadly (incl. older papers and outside your field), and learn to read some papers in detail and others more superficially (and quickly)
I try to avoid using ‘this’ in the sense of, for example, “one of the features of this case” unless it’s very close to the referent. It puts cognitive load on the reader to dredge up what it refers to. Better to say “one of the features of the case of the red dog”.
I try to avoid using ‘this’ in the sense of, for example, “one of the features of this case” unless it’s very close to the referent. It puts cognitive load on the reader to dredge up what it refers to. Better to say “one of the features of the case of the red dog”.
Interviewing OLMo 2 leads: Open secrets of training language models
What we have learned and are going to do next.
YouTube: https://buff.ly/40IlSFF
Podcast / notes:
Interviewing OLMo 2 leads: Open secrets of training language models
What we have learned and are going to do next.
YouTube: https://buff.ly/40IlSFF
Podcast / notes:
✅book lovers
✅science lovers
✅data science and AI lovers
✅anime lovers
✅book lovers
✅science lovers
✅data science and AI lovers
✅anime lovers
Project: www.moonshot.cn
Key Technologies of Kimi k1.5
Project: www.moonshot.cn
Key Technologies of Kimi k1.5
Long Short Term Memory networks – called “LSTMs” – are a special kind of RNN, capable of learning long-term dependencies. They were introduced by Hochreiter & Schmidhuber, and were refined and popularized by many people in following work.
colah.github.io/posts/2015-0...
Long Short Term Memory networks – called “LSTMs” – are a special kind of RNN, capable of learning long-term dependencies. They were introduced by Hochreiter & Schmidhuber, and were refined and popularized by many people in following work.
colah.github.io/posts/2015-0...
- super easy to connect your agents to a bunch of useful tools and apps.
- find a Space you like on Hugging Face Hub or make your own with Gradio.
- link it up with smolagents.
🧵
- super easy to connect your agents to a bunch of useful tools and apps.
- find a Space you like on Hugging Face Hub or make your own with Gradio.
- link it up with smolagents.
🧵
neuroevolutionbook.com
neuroevolutionbook.com
OmniThink
YOU can create a long-form article that is not just longer but also richer, more insightful, and packed with real-world value.
📄 Paper: arxiv.org/abs/2501.09751
🎥 Demo: www.modelscope.cn/studios/iic/...
💻 Code: github.com/zjunlp/OmniT...
OmniThink
YOU can create a long-form article that is not just longer but also richer, more insightful, and packed with real-world value.
📄 Paper: arxiv.org/abs/2501.09751
🎥 Demo: www.modelscope.cn/studios/iic/...
💻 Code: github.com/zjunlp/OmniT...
www.dabeaz.com/courses.html
www.dabeaz.com/courses.html
📦 srbhr / Resume-Matcher
⭐ 7,210 (+486)
🗒 Python
Resume Matcher is an open source, free tool to improve your resume. It works by using AI, Reader LLMs, to compare and rank resumes with job descriptions.
📦 srbhr / Resume-Matcher
⭐ 7,210 (+486)
🗒 Python
Resume Matcher is an open source, free tool to improve your resume. It works by using AI, Reader LLMs, to compare and rank resumes with job descriptions.