In September, Lumigo announced we were exploring how AI can help shape the next generation of observability. Since then, we’ve unveiled the beta of Lumigo Copilot, which we believe will be the most intelligent AI in observability. Today, we’re providing an update on our progress and inviting our customers to participate in the beta.
vLLM is a high-performance serving framework for large language models (LLMs). It optimizes token generation and resource management to deliver low-latency, scalable performance for AI-driven applications such as chatbots, virtual assistants, and recommendation systems. By efficiently managing concurrent requests and overlapping tasks, vLLM enables organizations to deploy LLMs in demanding environments with speed and efficiency.
If you want to ensure that your infrastructure is resilient by modern standards, you need to have a deep understanding of how processes and technology impact your business. Learn how Virtana unlocks unmatched insights into your infrastructure through our Virtana AI Platform for deep hybrid infrastructure observability, to give you the deep understanding you need for a resilient infrastructure.
AI tools like ChatGPT are making waves in education. They're fast, efficient, and can whip up an essay in seconds. For students in a time crunch, that sounds like a dream come true. But here's the catch: using AI for essays is risky business. Plagiarism is a big problem, and AI-generated work often lacks originality. Plus, there's the constant worry of getting caught. Let's face it: a generic, cookie-cutter essay won't impress your professors.
C1 publishes comprehensive report titled The Era of AI-Powered Connected Human Experience is Underway. The report details how organizations across multiple industries are rapidly integrating generative AI to improve automation, create new products and services, software development, and collaboration.
Can generative AI help improve IT efficiency? Imagine you’re part of an IT team constantly juggling a growing number of support tickets, system issues, and daily maintenance tasks. It can feel like you’re always playing catch-up. It’s a common challenge: Repetitive tasks and troubleshooting waste valuable time, leaving little room for innovation or strategic improvements. Generative AI (GenAI) for IT provides a solution.
As Gartner predicts, AI will support up to 70% of performance monitoring and troubleshooting tasks in the next few years. The Logz.io AI Agent helps teams get ahead of this curve today. Too much time spent troubleshooting? You’re not alone. Manual investigation, jumping between dashboards, and piecing together scattered data are time-consuming and frustrating.
We’re expanding beyond just code coverage and added a suite of new capabilities to help you break production less: AI PR Review, AI Test Generation, Test Analytics, and Bundle Analysis.
We are excited to collaborate with Dell on the white paper,Agentic RAG on Dell AI Factory with NVIDIA. The white paper is a design reference document for developers outlining strategies and solution components to implement agentic retrieval augmented generation (RAG) applications. It’s a design point for organizations across industries, specifically healthcare, for the agentic RAG framework decision-making with AI-driven data retrieval.