Operations | Monitoring | ITSM | DevOps | Cloud

What Are SLMs? Small Language Models, Explained

Large language models (LLMs) are AI models with billions of parameters, trained on vast amounts of data. These models are typically flexible and generalized. The volume and distribution of training data determines what kind of knowledge a large language model can demonstrate. By training these large models on a variety of information from all knowledge domains, these models can perform sufficiently well on all tasks.

From Gartner IOCS 2024 Conference: AI, Observability Data, and Telemetry Pipelines

Last week, I attended one of the last conferences of the year with team Mezmo: the Gartner IT Infrastructure, Operations & Cloud Strategies Conference in Las Vegas. Not surprisingly, there were over 20 sessions covering observability and how it is getting increasingly critical in the new complex distributed computing environment. Of course, there were many sessions, including all keynotes that addressed the advent and impact of AI on IT operations and observability.

How good is GitHub Copilot at generating Playwright code?

People keep asking us here at Checkly if and how AI can help create solid and maintainable Playwright tests. To answer all these questions, we started by looking at ChatGPT and Claude to conclude that AI tools have the potential to help with test generation but that "normal AI consumer tools" aren't code-focused enough. High-quality results require too complex prompts to be a maintainable solution.

The Next Generation of AI-Powered Observability

AI is changing our world, and its impact on observability is no different. This article discusses some of the components of a good observability platform, how AI is well-positioned to revolutionize observability, and how Lumigo Copilot Beta will provide substantial value to customers and partners.

Enhancing Collaboration with AI Security Assistants with Robert Grazioli, CIO, Ivanti

Ivanti CIO Robert Grazioli shares his insights on how AI is transforming the cybersecurity industry. Read the full report for more: ivanti.com/ai-security This expert commentary highlights the importance of AI assistants in empowering security professionals, breaking down silos, and improving response times. Learn how AI is radically reshaping the cyber threat landscape due to AI’s ability to quickly penetrate siloed security operations. However, security teams can leverage AI to counter these sophisticated attacks and boost their own skill sets.

Intel the era of AI: business transformation with open source | Data & AI Masters

AI is transforming the way organizations work globally. It makes everyone look differently at all scales, from workstations to data centers and edge devices. Intel’s strategy heavily focuses on AI as the next milestone to drive innovation and enable other organizations to move their projects beyond experimentation.

What is RAG?

In a 2020 paper, Patrick Lewis and his research team introduced the term RAG, or retrieval-augmented generation. This technique enhances generative AI models by utilizing external knowledge sources such as documents and extensive databases. RAG addresses a gap in traditional Large Language Models (LLMs). While traditional models rely on static knowledge already contained within them, RAG incorporates current information that serves as a reliable source of truth for LLMs.