Row 55551

Row ID: 55551 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 55551 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Do you have a github or huggingface where you publish the python scripts you write when you learn the book concepts?

This MIT Deep Learning Book may help you.

[Understanding Deep Learning (udlbook.github.io)](https://udlbook.github.io/udlbook/)

You can upload Arxiv papers or python scripts or other AI code to Google Gemini to have a tutor to explain them to you, or rewrite them for your own experiments or projects. And see:

[The 5 Best Generative AI Courses (msn.com)](https://www.msn.com/en-us/money/careers/the-5-best-generative-ai-courses/ar-BB1mt4Hv?ocid=msedgntp&pc=U531&cvid=8f098689bdf24cc1bfbff2dc20554ff0&ei=17)

You can get hands-on experience. The OpenAI Discord server used to have a lot of open source projects, and for-hire opportunities. LinkedIn has job postings. Github has open-source projects? Huggingface has independent researchers building and tinkering with small GPTs.

This guy wants to develop a solar-powered GPT-based Teacher for jungle babies and adults:

[MartialTerran (Martial Terran) (huggingface.co)](https://huggingface.co/MartialTerran)

You have GPTs (Gemini, Bing, or ChatGPT) to explain Arxiv papers to you and to quiz and tutor you, and free books like [Understanding Deep Learning (udlbook.github.io)](https://udlbook.github.io/udlbook/) . You can join a group or hackathon that is working with AI or GPTs and make a contribution and get your name on a paper or a patent as a co-author or co-inventor.

FieldValue
text Do you have a github or huggingface where you publish the python scripts you write when you learn the book concepts? This MIT Deep Learning Book may help you. [Understanding Deep Learning (udlbook.github.io)](https://udlbook.github.io/udlbook/) You can upload Arxiv papers or python scripts or other AI code to Google Gemini to have a tutor to explain them to you, or rewrite them for your own experiments or projects. And see: [The 5 Best Generative AI Courses (msn.com)](https://www.msn.com…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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Raw Record

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  "text": "Do you have a github or huggingface where you publish the python scripts you write when you learn the book concepts?  \n\nThis MIT Deep Learning Book may help you.\n\n[Understanding Deep Learning (udlbook.github.io)](https://udlbook.github.io/udlbook/)\n\nYou can upload Arxiv papers or python scripts or other AI code to Google Gemini to have a tutor to explain them to you, or rewrite them for your own experiments or projects.  \nAnd see:\n\n[The 5 Best Generative AI Courses (msn.com)](https://www.msn.com/en-us/money/careers/the-5-best-generative-ai-courses/ar-BB1mt4Hv?ocid=msedgntp&pc=U531&cvid=8f098689bdf24cc1bfbff2dc20554ff0&ei=17)\n\nYou can get hands-on experience.  The OpenAI Discord server used to have a lot of open source projects, and for-hire opportunities. LinkedIn has job postings. Github has open-source projects? Huggingface has independent researchers building and tinkering with small GPTs.\n\nThis guy wants to develop a solar-powered GPT-based Teacher for jungle babies and adults:\n\n[MartialTerran (Martial Terran) (huggingface.co)](https://huggingface.co/MartialTerran)\n\nYou have GPTs (Gemini, Bing, or ChatGPT) to explain Arxiv papers to you and to quiz and tutor you, and free books like [Understanding Deep Learning (udlbook.github.io)](https://udlbook.github.io/udlbook/) .  You can join a group or hackathon that is working with AI or GPTs and make a contribution and get your name on a paper or a patent as a co-author or co-inventor.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
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Entry Information