Eric Jang
Eric Jang is an AI researcher and engineer writing about machine learning, robotics, and generalization. His blog covers topics from LLMs and reinforcement learning to the future of intelligent robots and AI research careers.
Eric Jang is an AI researcher and engineer writing about machine learning, robotics, and generalization. His blog covers topics from LLMs and reinforcement learning to the future of intelligent robots and AI research careers.
Avi Singh writes about computer vision, deep learning, and robotics, with hands-on tutorials and research-driven insights. His work covers visual odometry, activity recognition, neural networks, and practical implementations using OpenCV, CUDA, and MATLAB.
Mark Saroufim is a software engineer and writer focused on machine learning systems, PyTorch, reinforcement learning, and the intersection of computation, mathematics, and product thinking. His writing blends hands-on engineering with theory, exploring everything from deep learning infrastructure to philosophy of computation.
Jonas Hietala is a writer and developer who blogs about programming, Neovim, Rust, home automation, and hands-on tech projects like 3D printing. With long-form series and personal reflections, he shares practical experiments and lessons from 15+ years of blogging.
Lilian Weng is a machine learning researcher documenting deep, well-researched learning notes on large language models, reinforcement learning, and generative AI. Her blog offers clear, structured insights into model reasoning, alignment, hallucinations, and modern ML systems.
Jessie Frazelle is a technologist and author specializing in hardware, software, and data center technologies. She writes about chip design, mechanical CAD, energy systems, 3D printing, and security in computing.
Jeff Geerling is a developer, author, and open-source advocate focused on Linux, Ansible, cloud infrastructure, and maker projects, widely known for his educational writing and popular YouTube channel.
Sebastian Raschka, PhD, is an LLM Research Engineer and AI expert bridging academia and industry, specializing in large language models, high-performance AI systems, and practical, code-driven machine learning.
Gunnar Hillert’s blog covers high-precision GNSS systems, RTK positioning, and practical tech insights, including electronics, robotics, and software development projects.
SebastianRaschka.com is the personal blog of Sebastian Raschka, PhD, an LLM research engineer whose work bridges academia and industry in AI and machine learning. On his blog and notes section he publishes deep, well-documented articles on topics such as LLMs (large language models), reasoning models, machine learning in Python, neural networks, data science workflows, and deep learning architecture. Recent posts explore advanced themes like “reasoning LLMs”, comparisons of modern open-weight transformer architectures, and guides for building, training, or analyzing neural networks and model internals.
Yasoob Khalid is a developer and writer best known for the free, open-source book Intermediate Python and his project-driven follow-up, Practical Python Projects. His articles and books have reached 5+ million readers across 189+ countries, and his blog remains a go-to place for clear, practical Python insights. By day, Yasoob works on Azure Cloud Networking at Microsoft, and by night he continues to publish tutorials, notes, and experiments that demystify real-world Python for learners at every level. He’s also the author behind the long-running Python Tips site and newsletter, where he focuses on approachable explanations and hands-on examples.