A Coding Guide to Design and Orchestrate Advanced ReAct-Based Multi-Agent Workflows with AgentScope and OpenAIMarkTechPost In this tutorial, we build an advanced multi-agent incident response system using AgentScope. We orchestrate multiple ReAct agents, each with a clearly defined role such as routing, triage, analysis, writing, and review, and connect them through structured routing and a shared message hub. By integrating OpenAI models, lightweight tool calling, and a simple internal runbook,
The post A Coding Guide to Design and Orchestrate Advanced ReAct-Based Multi-Agent Workflows with AgentScope and OpenAI appeared first on MarkTechPost.
In this tutorial, we build an advanced multi-agent incident response system using AgentScope. We orchestrate multiple ReAct agents, each with a clearly defined role such as routing, triage, analysis, writing, and review, and connect them through structured routing and a shared message hub. By integrating OpenAI models, lightweight tool calling, and a simple internal runbook,
The post A Coding Guide to Design and Orchestrate Advanced ReAct-Based Multi-Agent Workflows with AgentScope and OpenAI appeared first on MarkTechPost. Read More
L’Oréal brings AI into everyday digital advertising productionAI News Producing digital advertising at global scale has become less about one standout campaign and more about volume, speed, and consistency. For consumer brands operating across dozens of markets, the challenge is not creativity alone, but how to keep content flowing without repeating expensive production cycles. That pressure is pushing some large companies to test where
The post L’Oréal brings AI into everyday digital advertising production appeared first on AI News.
Producing digital advertising at global scale has become less about one standout campaign and more about volume, speed, and consistency. For consumer brands operating across dozens of markets, the challenge is not creativity alone, but how to keep content flowing without repeating expensive production cycles. That pressure is pushing some large companies to test where
The post L’Oréal brings AI into everyday digital advertising production appeared first on AI News. Read More
YOLOv1 Loss Function Walkthrough: Regression for AllTowards Data Science An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
The post YOLOv1 Loss Function Walkthrough: Regression for All appeared first on Towards Data Science.
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
The post YOLOv1 Loss Function Walkthrough: Regression for All appeared first on Towards Data Science. Read More
Author: Derrick D. JacksonTitle: Founder & Senior Director of Cloud Security Architecture & RiskCredentials: CISSP, CRISC, CCSPLast updated: January 28th, 2026 NIST AI RMF Function Overviews: View Articles What is NIST AI RMF Measure? What is NIST AI RMF Measure? It’s the function that answers a critical question: can you prove your AI system actually works […]
How to Filter for Dates, Including or Excluding Future Dates, in Semantic ModelsTowards Data Science It is common to have either planning data or the previous year’s data displayed beyond today’s date. But future data can be confusing. How can I add a Slicer to show or hide future data? Let’s see how to do it.
The post How to Filter for Dates, Including or Excluding Future Dates, in Semantic Models appeared first on Towards Data Science.
It is common to have either planning data or the previous year’s data displayed beyond today’s date. But future data can be confusing. How can I add a Slicer to show or hide future data? Let’s see how to do it.
The post How to Filter for Dates, Including or Excluding Future Dates, in Semantic Models appeared first on Towards Data Science. Read More
Prompt Engineering vs RAG for Editing ResumesTowards Data Science Running a code-free comparison in Azure
The post Prompt Engineering vs RAG for Editing Resumes appeared first on Towards Data Science.
Running a code-free comparison in Azure
The post Prompt Engineering vs RAG for Editing Resumes appeared first on Towards Data Science. Read More
DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to Fix Instability in Hyper ConnectionsMarkTechPost DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and training then became unstable at scale. The new method mHC, Manifold Constrained Hyper Connections, keeps the richer topology of hyper connections but locks the mixing behavior on
The post DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to Fix Instability in Hyper Connections appeared first on MarkTechPost.
DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and training then became unstable at scale. The new method mHC, Manifold Constrained Hyper Connections, keeps the richer topology of hyper connections but locks the mixing behavior on
The post DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to Fix Instability in Hyper Connections appeared first on MarkTechPost. Read More
How to Build a Production-Ready Multi-Agent Incident Response System Using OpenAI Swarm and Tool-Augmented AgentsMarkTechPost In this tutorial, we build an advanced yet practical multi-agent system using OpenAI Swarm that runs in Colab. We demonstrate how we can orchestrate specialized agents, such as a triage agent, an SRE agent, a communications agent, and a critic, to collaboratively handle a real-world production incident scenario. By structuring agent handoffs, integrating lightweight tools
The post How to Build a Production-Ready Multi-Agent Incident Response System Using OpenAI Swarm and Tool-Augmented Agents appeared first on MarkTechPost.
In this tutorial, we build an advanced yet practical multi-agent system using OpenAI Swarm that runs in Colab. We demonstrate how we can orchestrate specialized agents, such as a triage agent, an SRE agent, a communications agent, and a critic, to collaboratively handle a real-world production incident scenario. By structuring agent handoffs, integrating lightweight tools
The post How to Build a Production-Ready Multi-Agent Incident Response System Using OpenAI Swarm and Tool-Augmented Agents appeared first on MarkTechPost. Read More
The ShinyHunters hacking group claims it breached the systems of cybersecurity firm Resecurity and stole internal data, while Resecurity says the attackers only accessed a deliberately deployed honeypot containing fake information used to monitor their activity. […] Read More
How to Keep MCPs Useful in Agentic PipelinesTowards Data Science Check the tools your LLM uses before replacing it with just a more powerful model
The post How to Keep MCPs Useful in Agentic Pipelines appeared first on Towards Data Science.
Check the tools your LLM uses before replacing it with just a more powerful model
The post How to Keep MCPs Useful in Agentic Pipelines appeared first on Towards Data Science. Read More
