Check out their blogs if you are into AI/ML.
1) Andrej Karpathy Neural networks & LLMs explained from first principles by one of the OGs of modern AI.
- https://t.co/rOFoQmoGDG
2) Sebastian Raschka, PhD Deep dives into LLM training and fine-tuning with super clear code examples.
- https://t.co/gxEb2jjs2S
3) Interconnects by Nathan Lambert AI alignment, open-source models, and ecosystem news. - https://t.co/clHxVsI9WS
4) Lil’Log by Lilian Weng Lessons from someone who worked on practical AI safety and alignment at OpenAI. - https://t.co/GtEOx18l5p
5) Chip Huyen Real-world MLOps and production ML systems design patterns.
- https://t.co/H11wqNsTlb
6) Eugene Yan Great writing on applied ML, data science, and working with recommender systems in production.
- https://t.co/UoGNYlHTFz
7) Philipp Schmid Tutorials on building and deploying LLM apps on AWS.
- https://t.co/9QGh9Yktsb
8) Jason Liu Learn from a consultant sharing real lessons on LLMs, data, and open-source tools.
- https://t.co/L8V830tQ1b
9) Hamel H. MLOps workflows, fine-tuning, and product strategy from an ML veteran.
- https://t.co/Rx5BvPT1FO
10) Berkeley Artificial Intelligence Research Blog Latest academic breakthroughs in computer vision, NLP, and robotics
- https://t.co/xLcvR2EmtR
11) Hugging Face Product updates, tutorials, and the latest from open-source AI.
- https://t.co/9oeyeKSUlv
12) Google DeepMind Google's premier AI research division.
- https://t.co/prmdJpRlcW
"Japanese work too much and there is so much troublesome repetitive work for office people. If #AI can do this work instead of people, they can focus on creative things and spend more time with family and enjoying hobbies. That’s our mission." @mikuhirano
https://t.co/fg0weXNh93