Overview This post is divided into five parts; they are: • Asymmetric Affine Quantization • Post-Training Quantization with PyTorch • GPTQ and AWQ • Quantizing a Model to GGUF • Evaluating Weight-Only Quantization Note: The code examples in this post use TorchAO and require a CUDA-enabled PyTorch installation.
Fully automated ransomware hasn’t arrived—yet. But seemingly unsophisticated attackers are using AI tools to wreak havoc.
Humans can create loose maps of environments they are exploring in their minds, using their senses and navigation skills. Many robots, on the other hand, rely on set maps of known environments or new maps produced using data collected by their sensors.
In this article, you will learn how to evaluate LLM applications systematically, from choosing scorers and designing reliable LLM judges to evaluating RAG systems and…
GS Caltex uses Amazon SageMaker Canvas and Amazon SageMaker Pipelines to connect process engineers’ models to production workflows. The South Korean energy and chemical company divides model development and operations between engineers with complementary skills. Process engineers build and validate models in SageMaker Canvas without writing code, drawing on their process knowledge. Machine learning (ML) …
Read more “Production MLOps at GS Caltex with Amazon SageMaker Canvas, part 1”
As enterprises move AI agents from experimental prototypes into production, data and platform teams are discovering that deploying an agent is only half the battle — you also need to see how it reasons, which data it touches, and what it costs to run. Today, we are announcing expanded AI agent observability and evaluation capabilities …
Read more “New AI agent observability and governance across BigQuery and Looker”
The five-hour ordeal ended Friday evening. Planes will be allowed to fly again, but the effects of the stoppage will be felt throughout the weekend.
Scientists have discovered a faster way to identify diamond-based materials that could power quantum computers and sensors at room temperature. The breakthrough has already revealed promising new quantum building blocks that could help unlock computing capabilities far beyond those of today’s supercomputers.
The use of algorithms to design structures has led to new parts optimized for ultralight aircraft, high-bandwidth antennas and F1 racing cars. But the best algorithmic design techniques still require lots of computation and time: Users only see the final design after it’s complete, after which they often must start the design process all over …
Read more “New AI ‘copilot’ lets engineers guide structural designs as algorithms create them”
Overview This post is divided into four parts; they are: • Operator Fusion • FlashAttention-Style Kernels • Paged Attention Kernels • Fusion and CUDA Graphs with torch.