Inside DOGE’s AI Push at the Department of Veterans Affairs
A DOGE operative at the Department of Veterans Affairs appears to be trying to use an AI tool to write code for the agency’s systems, among other proposals.
Google’s AI Dreamer learns how to self-improve over time by mastering Minecraft
A trio of AI researchers at Google’s Google DeepMind, working with a colleague from the University of Toronto, report that the AI algorithm Dreamer can learn to self-improve by mastering Minecraft in a short amount of time. In their study published in the journal Nature, Danijar Hafner, Jurgis Pasukonis, Timothy Lillicrap and Jimmy Ba programmed …
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I made a simple one-click installer for the Hunyuan 3D generator. Doesn’t need for cuda toolkit, nor admin. Optimized the texturing, to fit into 8GB gpus (StableProjectorz variant)
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How AWS Sales uses generative AI to streamline account planning
Every year, AWS Sales personnel draft in-depth, forward looking strategy documents for established AWS customers. These documents help the AWS Sales team to align with our customer growth strategy and to collaborate with the entire sales team on long-term growth ideas for AWS customers. These documents are internally called account plans (APs). In 2024, this …
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We truly live in dark times
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The Roadmap for Mastering MLOps in 2025
Organizations increasingly adopt machine learning solutions into their daily operations and long-term strategies, and, as a result, the need for effective standards for deploying and maintaining machine learning systems has become critical.
Taking a responsible path to AGI
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
Interpreting and Improving Optimal Control Problems With Directional Corrections
Many robotics tasks, such as path planning or trajectory optimization, are formulated as optimal control problems (OCPs). The key to obtaining high performance lies in the design of the OCP’s objective function. In practice, the objective function consists of a set of individual components that must be carefully modeled and traded off such that the …
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Ray jobs on Amazon SageMaker HyperPod: scalable and resilient distributed AI
Foundation model (FM) training and inference has led to a significant increase in computational needs across the industry. These models require massive amounts of accelerated compute to train and operate effectively, pushing the boundaries of traditional computing infrastructure. They require efficient systems for distributing workloads across multiple GPU accelerated servers, and optimizing developer velocity as …
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Beyond generic benchmarks: How Yourbench lets enterprises evaluate AI models against actual data
Hugging Face warned that Yourbench is compute intensive but this might be a price enterprises are willing to pay to evaluate models on their data.Read More