Artificial Intelligence #272

Hey, in this issue: NVIDIA's cuML let's you run scikit-learn, DBSCAN, and UMAP on GPUs with up to 150x acceleration; generative modelling in latent space; welcome to the era of experience; periodic table of machine learning; training LLMs to leverage search engines; recent reasoning research; and more.

The sponsor of this issue is Postman and Amazon Web Services.

• NVIDIA's cuML let's you run scikit-learn, DBSCAN, and UMAP on GPUs with up to 150x acceleration
• Generative modelling in latent space
• [Sutton] Welcome to the era of experience
• [Sponsored] Accelerate AI Agent Development & Deployment with Postman Flows

Join Postman’s 8-hour AI workshop at POST/CON 25 in LA to master building, refactoring, and deploying intelligent agent workflows with Flows. Learn automation, AI-powered logic, and scalable deployment—all hands-on. Register with code PMN50CAM6 for 50% off your conference pass.

• [MIT] “Periodic table of machine learning” could fuel AI discovery
• [Model] Gemma 3: The most capable model you can run on a single GPU or TPU
• Search-R1: Training LLMs to leverage search engines with reinforcement learning
• [Sponsored] Supercharge your CLI with the Q Developer CLI agent
• Recent reasoning research: GRPO tweaks, base model RL, and data curation
• [Tool] 3FS: A high-performance distributed file system designed to address the challenges of AI training and inference workloads

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