Introduction to ggml

GGML and llama.cpp join HF to ensure the long-term progress of Local AI

GLM-5.2: Built for Long-Horizon Tasks

Gotta Learn Fast: A new benchmark for generalization in RL

Deep R Programming

arXiv:2301. 01188v5 Announce Type: replace-cross Abstract: Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science.

Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries

SmolVLM - small yet mighty Vision Language Model

SyGra: The One-Stop Framework for Building Data for LLMs and SLMs

The N Implementation Details of RLHF with PPO

PaliGemma – Google's Cutting-Edge Open Vision Language Model

Introducing GPT-5.4

Introducing GPT-5. 4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context.

Mini-R1: Reproduce Deepseek R1 „aha moment“ a RL tutorial

GPU-Enabled Large-Scale Optimization Using Randomized Linear Algebra

arXiv:2609. 08136v1 Announce Type: new Abstract: This paper introduces rlaopt, a PyTorch-based package for large-scale optimization and scientific computing using randomized numerical linear algebra (RandNLA).