Kimi K3 Architecture Notes
Kimi K3, a 2.8-trillion-parameter open-weight model from Moonshot AI, is the largest open-weight model to date, scaling up their earlier Kimi Linear architecture from 48B parameters. The architecture …
Kimi K3, a 2.8-trillion-parameter open-weight model from Moonshot AI, is the largest open-weight model to date, scaling up their earlier Kimi Linear architecture from 48B parameters. The architecture …
Sebastian Raschka issued a correction for Listing 6.5 in his book 'Build a Reasoning Model From Scratch', changing the line 'torch.manual_seed(0)' to 'torch.manual_seed(5)' on page 198. The change is …
A new book, 'Build a Reasoning Model (From Scratch)' (ISBN-13 9781633434677), teaches readers how to add reasoning capabilities to a pre-trained large language model through hands-on code examples, co…
Every major LLM vendor has replaced numeric thinking-token budgets with discrete effort levels, converging on a small enum instead of a number. Anthropic now rejects budget_tokens with a 400 error on …
OpenAI released the GPT-5.6 model family last week, which comes in three sizes each with roughly five or six reasoning-effort settings, according to Sebastian Raschka. The article explains how reasoni…
A developer's inbox filter reveals 26 engineering newsletters that survived a strict three-week unsubscribe rule, with AI engineering emerging as its own discipline. The list includes newer publicatio…
Giles Thomas completed building and training a GPT-2 small model from scratch using JAX, achieving a test loss of 3.418784, outperforming both his PyTorch model (3.538161) and the original GPT-2 small…
Giles Thomas built a JAX training loop for an LLM from scratch, using NNX and Optax, as part of a project to replicate GPT-2 small quality without referencing Sebastian Raschka's book. He trained a ba…
Sebastian Raschka announced the release of his new book "Build a Reasoning Model (From Scratch)", a 440-page full-color guide that teaches readers how to implement modern reasoning techniques on a Qwe…
Ian Barber argues that large language models have entered the engineering phase long familiar in recommendation systems, where performance is now part of the research loop rather than an afterthought.…
Researchers Sebastian Raschka released a curated list of LLM research papers from January to May 2026, focusing on reasoning models, reinforcement learning, and efficient inference. The list, organize…
A developer who has spent years working extensively with PyTorch has begun exploring JAX, a competing machine learning framework, and reports finding it cleaner and more mathematically pure. The autho…