InfoQ Homepage Agents Content on InfoQ
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AWS Reveals Multi-Agent Orchestrator Framework for Managing AI Agents
AWS has introduced Multi-Agent Orchestrator, a framework designed to manage multiple AI agents and handle complex conversational scenarios. The system routes queries to the most suitable agent, maintains context across interactions, and integrates seamlessly with a variety of deployment environments, including AWS Lambda, local setups, and other cloud platforms.
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Microsoft Introduces Magentic-One, a Generalist Multi-Agent System
Microsoft has announced the release of Magentic-One, a new generalist multi-agent system designed to handle open-ended tasks involving web and file-based environments. This system aims to assist with complex, multi-step tasks across various domains, improving efficiency in activities such as software development, data analysis, and web navigation.
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QCon SF 2024 - Ten Reasons Your Multi-Agent Workflows Fail
At QCon SF 2024, Victor Dibia from Microsoft Research explored the complexities of multi-agent systems powered by generative AI. Highlighting common pitfalls like inadequate prompts and poor orchestration, he shared strategies for enhancing reliability and scalability. Dibia emphasized the need for meticulous design and oversight to unlock the full potential of these innovative systems.
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OpenAI Releases Swarm, an Experimental Open-Source Framework for Multi-Agent Orchestration
Recently released as an experimental tool, Swarm aims to allow developers to investigate how they can have multiple agents coordinate with one another to execute tasks using routines and handoffs.
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LLMs and Agents as Team Enablers
Eric Naiburg and Birgitta Böckeler published articles on the benefits and challenges of using AI as a multiplier in dev teams. We report on their insights for scenarios such as simplifying the germane cognitive load of a domain, automating code migrations, and coaching scrum masters on team facilitation. We also cover Böckeler's experiments with using LLMs to onboard onto a complex project.
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Amazon Brings AI Assistant to Software Development as Part of Amazon Q Suite
Amazon has recently released Amazon Q Developer Agent, an AI-powered assistant that uses natural language input from developers to generate features, bug fixes, and unit tests within an integrated development environment (IDE). It employs large language models and generative AI to understand a developer's natural language request, and then generate the necessary code changes.
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Recap of MSBuild 2024: Copilot AI Agents, Phi-3, GPT-4o on Azure AI
Microsoft recently held its annual MSBuild developer conference, where it made several significant announcements, including updates to its AI capabilities, focusing on Copilot AI Agents, Phi-3, and GPT-4o now available on Azure AI.
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Microsoft Shares Lessons Learned on Building AI Copilots
Researchers at Microsoft and GitHub Inc. have conducted an in-depth study into the challenges, opportunities, and needs associated with building AI-powered product copilots. The research involved interviews with 26 professional software engineers from various companies who are responsible for developing these advanced tools.
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Nvidia Introduces Eureka, an AI Agent Powered by GPT-4 That Can Train Robots
Nvidia Research revealed that it has created a brand-new AI agent named Eureka that is driven by OpenAI's GPT-4 and is capable of teaching robots sophisticated abilities on its own.
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Defensible Moats: Unlocking Enterprise Value with Large Language Models at QCon San Francisco
In a recent presentation at QConSFrancisco, Nischal HP discussed the challenges enterprises face when building LLM-powered applications using APIs alone. These challenges include data fragmentation, the absence of a shared business vocabulary, privacy concerns regarding data, and diverse objectives among stakeholders.
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Amazon Bedrock Unveils New Agents Feature
Amazon announced the release of agents for Amazon Bedrock, a new feature that allows developers to quickly create fully managed agents. By performing API calls to enterprise systems, agents for Amazon Bedrock speed up the release of generative AI applications that can manage and carry out activities.
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OpenJDK's JEP 451: Balancing Serviceability and Integrity in JVM
JEP 451, Prepare to Disallow the Dynamic Loading of Agents, has been completed from Target status for JDK 21. This JEP has evolved from its original intent to disallow the dynamic loading of agents into a running JVM by default to issue warnings when agents are dynamically loaded into a running JVM.
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Minecraft Welcomes Its First LLM-Powered Agent
Researchers from Caltech, Stanford, the University of Texas, and NVIDIA have collaboratively developed and released Voyager, an LLM power agent that utilizes GPT-4 to engage in Minecraft gameplay. Voyager demonstrates remarkable capabilities by learning, retaining knowledge, and showcasing exceptional expertise in Minecraft.
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Atlassian Bamboo 5.11 Delivers Continuous Integration At Scale
Atlassian, makers of development tools such as JIRA and Confluence, have just released version 5.11 of their continuous delivery tool Bamboo with a host of new features to help teams scale and collaborate. The key feature in this new release is the ability to scale from 100 to 250 elastic build agents.
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Ambient Computing; Emerging Applications
Projects at the Santa Fe Complex illustrate that practical applications of ambient computing research are at hand. Ambient computing is primarily concerned with interface and interaction issues that arise in ubiquitous computing environments.