nanochat Tutorial: Train Your Own LLM for $100 (2026)
Andrej Karpathy’s nanochat trains a full ChatGPT-style LLM for around $100 on spot GPU instances. Here is what the pipeline teaches you — ...
Liquid AI LFM 2.5-230M: 230M Model Beats 1B Transformer on Edge
Liquid AI LFM 2.5-230M outperforms models 4x its size on data extraction and runs at ...
Baidu Unlimited-OCR: One-Shot PDF Parsing Is Here
Baidu's Unlimited-OCR replaces the page-by-page OCR loop with constant KV cache via R-SWA. MIT licensed, ...
MiniMax M3: Open-Weight Frontier Model at 5% of Opus Cost
MiniMax M3 is an open-weight model with a 1M-token context window, 59% SWE-Bench Pro, and ...
MLX + JACCL: Distributed AI Training Over Thunderbolt 5
Apple shipped JACCL at WWDC 2026 — an open-source collective communication library that enables distributed ...
ZAYA1-8B: Run a Frontier Reasoning Model Without NVIDIA
ZAYA1-8B is an Apache 2.0 sparse MoE reasoning model trained entirely on AMD Instinct MI300X hardware. It beats DeepSeek-R1 on math benchmarks with ...
NVIDIA Nemotron 3 Nano Omni: Run It Locally Now
NVIDIA Nemotron 3 Nano Omni is a 30B open multimodal model (3B active) with video, ...
Apple Evaluations Framework: Measure iOS AI Feature Quality
Apple's new Evaluations framework in Xcode 27 gives iOS developers a first-party way to measure ...
MLX Distributed Training with JACCL: Multi-Mac LLM Clusters, Explained
Apple shipped JACCL with macOS 26.2 — a distributed backend for MLX that runs trillion-parameter ...
Apple Image Playground API: Add Photorealistic AI to Your iOS 27 App
Apple's Image Playground now generates photorealistic images in iOS 27. Learn the new imagePlaygroundSheet API, ...