InfoQ<p>To deploy agentic AI responsibly & effectively in the enterprise, organizations should evolve through a 3-tier architecture:<br>1️⃣ Foundation Tier<br>2️⃣ Workflow Tier<br>3️⃣ Autonomous Tier</p><p>Trust, governance & transparency must come before autonomy!</p><p>Dive into the <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a> article to learn more: <a href="https://bit.ly/3IsMNi2" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3IsMNi2</span><span class="invisible"></span></a> </p><p><a href="https://techhub.social/tags/SoftwareArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SoftwareArchitecture</span></a> <a href="https://techhub.social/tags/AIArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIArchitecture</span></a> <a href="https://techhub.social/tags/AIAgents" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIAgents</span></a></p>
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#aiarchitecture
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Dr. Thompson<p>🚨 AI devs, don’t ship your next feature until you read this.</p><p>🧠 We scaled to 100M tokens/day—with 0 hallucinations.<br>The secret? A system built to distrust itself by design.</p><p>💡 Skip guesswork. Catch errors before they break trust.<br>👀 Architecture, code, dashboards, real savings.</p><p>Read 👉<br><a href="https://medium.com/@rogt.x1997/before-you-ship-your-next-ai-feature-read-this-zero-hallucination-blueprint-05f8543d8937" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/before-</span><span class="invisible">you-ship-your-next-ai-feature-read-this-zero-hallucination-blueprint-05f8543d8937</span></a><br><a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a> <a href="https://mastodon.social/tags/AIArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIArchitecture</span></a><br><a href="https://medium.com/@rogt.x1997/before-you-ship-your-next-ai-feature-read-this-zero-hallucination-blueprint-05f8543d8937" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/before-</span><span class="invisible">you-ship-your-next-ai-feature-read-this-zero-hallucination-blueprint-05f8543d8937</span></a></p>
Bluebash<p>Maximizing AI Potential: A Comparison of Multi-Agent and Single-Agent Systems</p><p>Not sure whether your product needs a multi-agent or single-agent system? Bluebash helps you decode the pros and cons of each so you can design smarter, more scalable AI solutions. From performance gains to real-world use cases—we've got you covered.</p><p>💡 Ready to make informed AI decisions?<br>Get the full breakdown here: <a href="https://www.bluebash.co/blog/multi-agent-vs-single-agent-systems/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">bluebash.co/blog/multi-agent-v</span><span class="invisible">s-single-agent-systems/</span></a></p><p><a href="https://techhub.social/tags/MultiAgentSystem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MultiAgentSystem</span></a> <a href="https://techhub.social/tags/SingleAgentSystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SingleAgentSystems</span></a> <br><a href="https://techhub.social/tags/AIArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIArchitecture</span></a> <br><a href="https://techhub.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <br><a href="https://techhub.social/tags/AIDevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDevelopment</span></a> <br><a href="https://techhub.social/tags/AIEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIEngineering</span></a> <br><a href="https://techhub.social/tags/AutonomousAgents" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AutonomousAgents</span></a> <br><a href="https://techhub.social/tags/AIStrategy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIStrategy</span></a><br><a href="https://techhub.social/tags/USA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>USA</span></a> <br><a href="https://techhub.social/tags/Bluebash" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bluebash</span></a></p>
Dr. Thompson<p>🚀 Predict Before You Train!<br>Low-code LLM workflows just got smarter. Discover how forecasting GPU cost, precision, and token throughput can help you build intelligent pipelines from the start. 💻📊<br><a href="https://mastodon.social/tags/LowCode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LowCode</span></a> <a href="https://mastodon.social/tags/AIArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIArchitecture</span></a> <a href="https://mastodon.social/tags/GPUForecasting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPUForecasting</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a><br>🔗<br><a href="https://medium.com/@rogt.x1997/architecting-the-future-of-ai-training-forecasting-gpu-decisions-with-predictive-intelligence-a554cf6c9f41" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/archite</span><span class="invisible">cting-the-future-of-ai-training-forecasting-gpu-decisions-with-predictive-intelligence-a554cf6c9f41</span></a></p>
InfoQ<p>📰 [News] Microsoft Introduces Magentic-One, a Generalist Multi-Agent System by Daniel Dominguez</p><p>🔗 <a href="https://bit.ly/4fUea0l" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/4fUea0l</span><span class="invisible"></span></a> </p><p>Magentic-One is a new generalist multi-agent system that handles open-ended tasks involving web and file-based environments. This system improves efficiency in activities such as software development, data analysis, and web navigation.</p><p><a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://techhub.social/tags/AIarchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIarchitecture</span></a> <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a></p>
InfoQ<p>Discover how <a href="https://techhub.social/tags/Uber" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Uber</span></a> has developed Genie - an <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a>-powered on-call copilot designed to improve the efficiency of on-call support engineers.</p><p>Powered by <a href="https://techhub.social/tags/RetrievalAugmentedGeneration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RetrievalAugmentedGeneration</span></a> (RAG), Genie delivers accurate real-time responses and significantly enhances incident response speed and effectiveness.</p><p>Since its launch, Genie has:<br>• Answered 70,000+ questions across 154 Slack channels<br>• Saved an estimated 13,000 engineering hours<br>• Achieved a 48.9% helpfulness rate from user feedback</p><p>Read more on <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a> 👉 <a href="https://bit.ly/3YKbP1N" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3YKbP1N</span><span class="invisible"></span></a> </p><p><a href="https://techhub.social/tags/CaseStudy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CaseStudy</span></a> <a href="https://techhub.social/tags/SoftwareArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SoftwareArchitecture</span></a> <a href="https://techhub.social/tags/AIArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIArchitecture</span></a></p>
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