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Tag: agents

  • Decentralized Online Convex Optimization with Unknown Feedback Delays

    Decentralized Online Convex Optimization with Unknown Feedback Delays arXiv:2601.07901v1 Announce Type: new Abstract: Decentralized online convex optimization (D-OCO), where multiple agents within a network collaboratively learn optimal decisions in real-time, arises naturally in applications such as federated learning, sensor networks, and multi-agent control. In this paper, we study D-OCO under unknown, time-and agent-varying feedback delays.…

  • Agents Under the Curve (AUC)

    Agents Under the Curve (AUC) Towards understanding if your agentic solution is actually better The post Agents Under the Curve (AUC) appeared first on Towards Data Science. Lambert Leong Go to original source

  • How Agents Plan Tasks with To-Do Lists

    How Agents Plan Tasks with To-Do Lists Understanding the process behind agentic planning and task management in LangChain The post How Agents Plan Tasks with To-Do Lists appeared first on Towards Data Science. Kenneth Leung Go to original source

  • 3 Techniques to Effectively Utilize AI Agents for Coding

    3 Techniques to Effectively Utilize AI Agents for Coding Learn how to be an effective engineer with coding agents The post 3 Techniques to Effectively Utilize AI Agents for Coding appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • AI Agents: From Assistants for Efficiency to Leaders of Tomorrow?

    AI Agents: From Assistants for Efficiency to Leaders of Tomorrow? How artificial intelligence is evolving from “simple” assistants to potential architect of our future-even CEOs and governors The post AI Agents: From Assistants for Efficiency to Leaders of Tomorrow? appeared first on Towards Data Science. Luciano Abriata Go to original source

  • Personalized Collaborative Learning with Affinity-Based Variance Reduction

    Personalized Collaborative Learning with Affinity-Based Variance Reduction arXiv:2510.16232v1 Announce Type: new Abstract: Multi-agent learning faces a fundamental tension: leveraging distributed collaboration without sacrificing the personalization needed for diverse agents. This tension intensifies when aiming for full personalization while adapting to unknown heterogeneity levels — gaining collaborative speedup when agents are similar, without performance degradation when…

  • Building Research Agents for Tech Insights

    Building Research Agents for Tech Insights Using a controlled workflow, unique data & prompt chaining The post Building Research Agents for Tech Insights appeared first on Towards Data Science. Ida Silfverskiöld Go to original source

  • Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails

    Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails A practical exploration of how guardrails safeguard multi-agent systems in Python using OpenAI Agents SDK, Streamlit, and Pydantic The post Hands-On with Agents SDK: Safeguarding Input and Output with Guardrails appeared first on Towards Data Science. Iqbal Rahmadhan Go to original source

  • How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus

    How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus Welcome to the 21st century by the hand of large language models and reasoning AI agents The post How a Research Lab Made Entirely of LLM Agents Developed Molecules That Can Block a Virus appeared first on Towards Data…

  • Hands-On with Agents SDK: Multi-Agent Collaboration

    Hands-On with Agents SDK: Multi-Agent Collaboration Explore the handoff and agents-as-tools patterns, their use cases, and how to customize them using OpenAI Agents SDK and Streamlit. The post Hands-On with Agents SDK: Multi-Agent Collaboration appeared first on Towards Data Science. Iqbal Rahmadhan Go to original source

  • Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide

    Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide Learn how to create AI Agents using the OpenAI Agents SDK to automate Jira ticket creation from a meeting transcript. The post Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide appeared first on Towards Data Science. Juan…

  • Hands‑On with Agents SDK: Your First API‑Calling Agent

    Hands‑On with Agents SDK: Your First API‑Calling Agent A practical, beginner‑friendly guide to building an AI weather assistant with Python, OpenAI Agents SDK, API tools, and Streamlit. The post Hands‑On with Agents SDK: Your First API‑Calling Agent appeared first on Towards Data Science. Iqbal Rahmadhan Go to original source

  • How AI Agents “Talk” to Each Other

    How AI Agents “Talk” to Each Other Minimize chaos and maintain inter-agent harmony in your projects The post How AI Agents “Talk” to Each Other appeared first on Towards Data Science. TDS Editors Go to original source

  • Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value

    Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value What actually works with AI agents inside enterprise organizations? The post Not Everything Needs Automation: 5 Practical AI Agents That Deliver Enterprise Value appeared first on Towards Data Science. Weiwei Hu Go to original source

  • Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other

    Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other Exploring how Google’s A2A enables plug-and-play communication between LLM-powered agents across frameworks The post Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other appeared first on Towards Data Science. Hailey Quach Go to original source

  • Code Agents: The Future of Agentic AI

    Code Agents: The Future of Agentic AI HuggingFace smolagents framework in action The post Code Agents: The Future of Agentic AI appeared first on Towards Data Science. Mariya Mansurova Go to original source

  • ACP: The Internet Protocol for AI Agents

    ACP: The Internet Protocol for AI Agents With ACP (Agent Communication Protocol), AI agents can collaborate freely across teams, frameworks, technologies, and organizations. It’s a universal protocol that transforms the fragmented landscape of today’s AI Agents into inter-connected team mates. This unlocks new levels of interoperability, reuse, and scale. As an open-source standard with open…

  • How I Built Business-Automating Workflows with AI Agents

    How I Built Business-Automating Workflows with AI Agents AI agents and automation are no longer just a trend — they are transforming how companies operate. In a previous article, I shared several case studies of AI Agents supporting the sustainability roadmaps of small, medium and large companies. AI Agents for Sustainability — (Image by Samir Saci) This is part of a…

  • Agentic AI 101: Starting Your Journey Building AI Agents

    Agentic AI 101: Starting Your Journey Building AI Agents Introduction The Artificial Intelligence industry is moving fast. It is impressive and many times overwhelming. I have been studying, learning, and building my foundations in this area of Data Science because I believe that the future of Data Science is strongly correlated with the development of…

  • A Farewell to APMs — The Future of Observability is MCP tools

    A Farewell to APMs — The Future of Observability is MCP tools Image generated using Midjourney The past years have been an absolute rollercoaster (or joyride) of rapidly evolving generative AI technologies. In the twenty-five years I’ve counted myself a software developer, I cannot recall a tectonic shift of a similar magnitude, one that is already fundamentally changing…

  • AI Agents Processing Time Series and Large Dataframes

    AI Agents Processing Time Series and Large Dataframes Intro Agents are AI systems, powered by LLMs, that can reason about their objectives and take actions to achieve a final goal. They are designed not just to respond to queries, but to orchestrate a sequence of operations, including processing data (i.e. dataframes and time series). This…

  • AI Agents from Zero to Hero — Part 3

    AI Agents from Zero to Hero — Part 3 Intro In Part 1 of this tutorial series, we introduced AI Agents, autonomous programs that perform tasks, make decisions, and communicate with others.  In Part 2 of this tutorial series, we understood how to make the Agent try and retry until the task is completed through…

  • AI Agents from Zero to Hero — Part 2

    AI Agents from Zero to Hero — Part 2 Intro In Part 1 of this tutorial series, we introduced AI Agents, autonomous programs that perform tasks, make decisions, and communicate with others.  Agents perform actions through Tools. It might happen that a Tool doesn’t work on the first try, or that multiple Tools must be…

  • PAC Learning with Improvements

    PAC Learning with Improvements arXiv:2503.03184v1 Announce Type: new Abstract: One of the most basic lower bounds in machine learning is that in nearly any nontrivial setting, it takes $textit{at least}$ $1/epsilon$ samples to learn to error $epsilon$ (and more, if the classifier being learned is complex). However, suppose that data points are agents who have…

  • AI Agents from Zero to Hero – Part 1

    AI Agents from Zero to Hero – Part 1 Intro AI Agents are autonomous programs that perform tasks, make decisions, and communicate with others. Normally, they use a set of tools to help complete tasks. In GenAI applications, these Agents process sequential reasoning and can use external tools (like web searches or database queries) when…

  • Building Visual Agents that can Navigate the Web Autonomously

    Building Visual Agents that can Navigate the Web Autonomously A step-by-step guide to creating visual agents that can navigate the web autonomously Continue reading on Towards Data Science » Luís Roque Go to original source

  • AI Agents Hype, Explained — What You Really Need to Know to Get Started

    AI Agents Hype, Explained — What You Really Need to Know to Get Started I’ll set the record straight — AI Agents are not new but advanced. Learn how they’ve evolved and where to get started. Continue reading on Towards Data Science » Marc Nehme Go to original source