Tag
Wang Ray translated the Claude Certified Architect exam guide into a Chinese version (28-page PDF) and uploaded it to his knowledge base for exam takers' reference.
A carefully curated collection of papers related to large model systems, covering training, inference, multimodality, and more. It is continuously updated and includes technical reports, frameworks, and courses, making it a valuable reference for researchers and developers.
Linear design engineer Emil Kowalski compiled 90+ animation terms covering 12 categories. The author used Claude to create a bilingual preview site for understanding the effects.
A Twitter user shares a 185-page deep learning book covering foundations, deep models, architectures, applications, and compute schism topics via a Google Drive link.
A structured 19-phase AI/ML learning curriculum covering topics from setup and math to capstone projects, created by @ghumare64.
Hugging Face shared slides detailing how they generated 1 trillion tokens of synthetic data for training foundation models.
MIT has made the entire 'Deep Learning' textbook by Goodfellow, Bengio, and Courville freely available online without paywall or signup, providing over 800 pages of foundational knowledge.
Stanford provides an explanatory document on Artificial Intelligence & Machine Learning, available via Google Drive.
The Awesome-SpeechLM-Survey repository on GitHub systematically organizes the research lineage of speech language models, including classification frameworks, representative models, training datasets, and evaluation benchmarks. It serves as a knowledge map for understanding the field.
Ollie Forsyth released an ultimate creator map covering new media creators in the tech field, emphasizing the importance of attention, distribution, influence, and taste in building future media.