​[[{“value”:” What would you build if you could run Reinforcement Learning (RL) post-training on a 32B LLM in 4-bit NVFP4—on a single H100—with BF16-level accuracy and 1.2–1.5× step speedups? NVIDIA researchers (with collaborators from MIT, HKU, and Tsinghua) have open-sourced QeRL (Quantization-enhanced Reinforcement Learning), a… Read More »QeRL: NVFP4-Quantized Reinforcement Learning (RL) Brings 32B LLM Training to a Single H100—While Improving Exploration Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Since the launch of Amazon Nova at AWS re:Invent 2024, we have seen adoption trends across industries, with notable gains in operational efficiency, compliance, and customer satisfaction. With its capabilities in secure, multimodal AI and domain customization, Nova is enhancing workflows and enabling cost… Read More »Transforming enterprise operations: Four high-impact use cases with Amazon Nova Abhinav Bhargava Artificial Intelligence

​[[{“value”:” Building AI agents that remember user interactions requires more than just storing raw conversations. While Amazon Bedrock AgentCore short-term memory captures immediate context, the real challenge lies in transforming these interactions into persistent, actionable knowledge that spans across sessions. This is the information that… Read More »Building smarter AI agents: AgentCore long-term memory deep dive Akarsha Sehwag Artificial Intelligence

​[[{“value”:” Anthropic released Claude Haiku 4.5, a latency-optimized “small” model that delivers similar levels of coding performance to Claude Sonnet 4 while running more than twice as fast at one-third the cost. The model is immediately available via Anthropic’s API and in partner catalogs on… Read More »Anthropic Launches Claude Haiku 4.5: Small AI Model that Delivers Sonnet-4-Level Coding Performance at One-Third the Cost and more than Twice the Speed Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Training state-of-the-art large language models (LLMs) demands massive, distributed compute infrastructure. Meta’s Llama 3, for instance, ran on 16,000 NVIDIA H100 GPUs for over 30.84 million GPU hours. Amazon Elastic Kubernetes Service (Amazon EKS) is a managed service that simplifies the deployment, management, and… Read More »Configure and verify a distributed training cluster with AWS Deep Learning Containers on Amazon EKS Meryem Ozcelik Artificial Intelligence

​[[{“value”:” Scala stands out as a versatile programming language that combines object-oriented and functional programming approaches. By running on the Java Virtual Machine (JVM), it maintains seamless compatibility with Java libraries while offering a concise and scalable development experience. The language has distinguished itself in… Read More »Scala development in Amazon SageMaker Studio with Almond kernel Varun Rajan Artificial Intelligence

​[[{“value”:” This article is part of a series on the Sens-AI Framework—practical habits for learning and coding with AI. AI-assisted coding is here to stay. I’ve seen many companies now require all developers to install Copilot extensions in their IDEs, and teams are increasingly being… Read More »From Habits to Tools Andrew Stellman AI & ML – Radar

​[[{“value”:” “Strange was obliged to invent most of the magic he did, working from general principles and half-remembered stories from old books.” — Susanna Clarke, Jonathan Strange & Mr Norrell Fairy tales, myths, and fantasy fiction are full of magic spells. You say “abracadabra” and… Read More »Magic Words: Programming the Next Generation of AI Applications Tim O’Reilly AI & ML – Radar

​[[{“value”:” How would your agent stack change if a policy could train purely from its own outcome-grounded rollouts—no rewards, no demos—yet beat imitation learning across eight benchmarks? Meta Superintelligence Labs propose ‘Early Experience‘, a reward-free training approach that improves policy learning in language agents without… Read More »Meta AI’s ‘Early Experience’ Trains Language Agents without Rewards—and Outperforms Imitation Learning Asif Razzaq Artificial Intelligence Category – MarkTechPost