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LLM hallucinations: How to detect and prevent them with CI

An LLM hallucination occurs when a large language model (LLM) generates a response that is either factually incorrect, nonsensical, or disconnected from the input prompt. Hallucinations are a byproduct of the probabilistic nature of language models, which generate responses based on patterns learned from vast datasets rather than factual understanding.

Elastic recognized with 2024 EMA Allstars award for its AI-assisted observability

We are thrilled to be recognized with the 2024 EMA Allstars award. This award acknowledges Elastic’s focus on delivering a full-stack observability solution that provides unified visibility and AI-powered insights into complex hybrid cloud deployments. The EMA Allstars award celebrates trailblazers and innovators who are reshaping the enterprise technology landscape.

The Debrief: Building AI-Related Incidents

Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features? In this episode, you'll hear from Rob and Isaac, both Product Engineers who played a really critical role in the building out of related incidents, to get a peek behind the curtain.

Exploring Tech's Influence on Cutting-Edge Annual Reports

In the era of digital transformation, the business landscape has evolved dramatically. This progression is vividly evident in the realm of annual reports, where technology has sculpted a cutting-edge revolution. No longer are annual reports confined to bland, printed documents. Instead, they've morphed into dynamic, interactive digital experiences that powerfully communicate a company's successes, challenges, and aspirations. This transformation has not only redefined how information is presented but also reshaped stakeholder engagement, making transparency and accessibility a new norm in business communications.

The Impact of Technology on Modern-Day Legal Practice

Modern technology has rvolutionizd the way lgal professionals approach their work. By harnssing th powr of technology, lawyrs can now lvrag advancd tools and softwar to perform tasks that wr onc tim consuming and labor intnsiv. For xampl, lgal rsarch, which usd to involv manual sarchs through numrous books and lgal databass, can now b don with a fw clicks of a button. Onlin databass and sarch ngins have provided lawyrs with accss to vast rpositoris of lgal information at thir fingrtips, dramatically incrasing th spd and accuracy of thir rsarch.

Building a GPT-style Assistant for historical incident analysis

Like most things, our AI Assistant started out as an idea. One of our data scientists, Ed, was working with our customers to improve our existing insights. But the most common theme that kept surfacing was the wide-range of use cases that our customers wanted to use insights for. Using this user feedback as our inspiration, we came up with the idea of a natural language assistant that you can use to explore your incident data.

The Debrief: incident.io, say hello to AI

This week was a particularly exciting one for us at incident.io. We launched not one, not two, but four AI-powered features to help folks get the most out of their incidents. In this episode of The Debrief, we sit down with Ed Dean, Product Analyst, and Charlie Revett, Product Engineer, to talk through all of these features and discuss how they're already making a measurable impact. You'll also hear them talk about: You can learn more about our AI features here.