How to keep up with AI in 2025
Skills:
Staying Current in AI90%
AI is moving incredibly FAST. I'll show you the 7 best sources I follow to keep up with the most important developments in AI.
This video is also available as a blog post: https://www.dataschool.io/best-ai-newsletters-in-2025/
Links from the video:
2024 AI timeline: https://huggingface.co/spaces/reach-vb/2024-ai-timeline
The Neuron: https://sparklp.co/p/8d06bb74cf (affiliate link)
The Batch: https://www.deeplearning.ai/the-batch/
Simon Willison's blog: https://simonwillison.net/
Things we learned about LLMs in 2024: https://simonwillison.net/2024/Dec/31/llms-in-2024/
One Useful Thing: https://www.oneusefulthing.org/
Ahead of AI: https://magazine.sebastianraschka.com/
Noteworthy AI Research Papers of 2024 (Part One): https://magazine.sebastianraschka.com/p/ai-research-papers-2024-part-1
Noteworthy AI Research Papers of 2024 (Part Two): https://magazine.sebastianraschka.com/p/ai-research-papers-2024-part-2
Understanding AI: https://www.understandingai.org/
LLMs explained with a minimum of math and jargon: https://www.understandingai.org/p/large-language-models-explained-with
Am I Stronger Yet?: https://amistrongeryet.substack.com/
Are We on the Brink of AGI?: https://amistrongeryet.substack.com/p/are-we-on-the-brink-of-agi
Watch on YouTube ↗
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Forking a GitHub Repository
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Creating a New GitHub Repository
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Copying a GitHub Repository to Your Local Computer
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Machine Learning with Text in scikit-learn (PyData DC 2016)
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Web scraping in Python (Part 3): Building a dataset
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