InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
marktechpost

Andrej Karpathy Open-Sources ‘Autoresearch’: A 630-Line Python Tool Letting AI Agents Run Autonomous ML Experiments on Single GPUs

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...
theregister

Chardet dispute shows how AI will kill software licensing, argues Bruce Perens

Earlier this week, Dan Blanchard, maintainer of a Python character encoding detection library called chardet, released a new version of the library under a new software license. In doing so, he may ...
GitHub

Unified Multimodal Understanding via Byte-Pair Visual Encoding

Being-VL-0.5 is an MLLM that combines text and image understanding using a novel approach called Visual Byte-Pair Encoding (vBPE). Instead of treating images and text as completely separate modalities ...
GitHub

ncpu_paper.md

We present nCPU, a software CPU implementation in which every arithmetic logic unit (ALU) operation is executed by a trained PyTorch neural network. Unlike prior work on neural arithmetic, which ...
IEEE

Dictionary-based Byte-Pair Encoding tokenizer for morphologically rich languages

Abstract: Tokenization is a critical preprocessing step for large language models, especially for morphologically rich, low-resource languages like Slovak, where standard corpus-based methods struggle ...
IEEE

Pyls: Enabling Python Hardware Synthesis with Dynamic Polymorphism via LCRS Encoding

Abstract: Python dominates AI development and is the most widely used dynamic programming language, but synthesizing its polymorphic functions into hardware remains challenging. Existing HLS solutions ...