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NVIDIA AI Release VibeTensor: An AI Generated Deep Learning Runtime Built End to End by Coding Agents Programmatically
ByRicardoNVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system asks a concrete question: can coding agents generate a coherent deep learning runtime that spans Python and JavaScript APIs down to C++ runtime components and CUDA memory management and…
Implementing a Tool-Enabled Multi-Agent Workflow with Python, OpenAI API, and PrimisAI Nexus
ByRicardoIn this advanced tutorial, we aim to build a multi-agent task automation system using the PrimisAI Nexus framework, which is fully integrated with the OpenAI API. Our primary objective is to demonstrate how hierarchical supervision, intelligent tool utilization, and structured outputs can facilitate the coordination of multiple AI agents to perform complex tasks, ranging from…
Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs
ByRicardoResearchers from Stanford, EPFL, and UNC introduce Weak-for-Strong Harnessing, W4S, a new Reinforcement Learning RL framework that trains a small meta-agent to design and refine code workflows that name a stronger executor mannequin. The meta-agent doesn’t fantastic tune the sturdy mannequin, it learns to orchestrate it. W4S formalizes workflow design as a multi flip Markov…
DeepCode: An Open Agentic Coding Platform that Transforms Research Papers and Technical Documents into Production-Ready Code
ByRicardoThe emergence of superior AI growth instruments is revolutionizing the way in which researchers and engineers translate groundbreaking educational concepts into sturdy, real-world purposes. A staff of researchers from the College of Hong Kong launch DeepCode. DeepCode proposes an “Open Agentic Coding” paradigm, leveraging multi-agent AI techniques to automate coding processes from analysis paper interpretation…
Google DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts
ByRicardoDesigning algorithms for Multi-Agent Reinforcement Learning (MARL) in imperfect-information video games — eventualities the place gamers act sequentially and can’t see one another’s non-public data, like poker — has traditionally relied on handbook iteration. Researchers determine weighting schemes, discounting guidelines, and equilibrium solvers by means of instinct and trial-and-error. Google DeepMind researchers proposes AlphaEvolve, an…
How Agentic AI is transforming healthcare delivery
ByRicardoIn the Agents of Change podcast, host Anthony Witherspoon welcomes Archie Mayani, Chief Product Officer at GHX (Global Healthcare Exchange), to explore the vital role of artificial intelligence (AI) in healthcare. GHX is a company that may not be visible to the average patient, but it plays a foundational role in ensuring healthcare systems operate…
