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Large Language Models (LLMs) Retrieval Augmented Generation (RAG) using Charmed OpenSearch

Large Language Models (LLMs) fall under the category of Generative AI (GenAI), an artificial intelligence type that produces content based on user-defined context. These models undergo training using an extensive dataset composed of trillions of combinations of words from natural language, enabling them to empower interactive and conversational applications across various scenarios.

New Release: Integrated GenAI, Enhanced Monitoring, and More

Selector is excited to give a sneak peek into new features to be included in our forthcoming Spring Release. This release highlights key innovations focusing on integrated generative AI (GenAI) to enable guided troubleshooting and automated incident remediation. It also includes enhancements to several existing features, such as root cause analysis, native monitoring, and observability capabilities.

Embark on your AI adoption journey with help from a master orchestrator

In all my blog posts so far, I have been providing suggestions on how to expedite your AI adoption journey. I believe it is now time to describe what we are doing here at Digitate: Helping enterprises to become a ticketless business. Even though this is the same adoption journey that I have been describing, it has a different perspective; I’m turning my focus “lens” from outward to inward.

Machine learning vs. AI: Understanding the differences

For a long time, AI was almost exclusively the plaything of science fiction writers, where humans push technology too far, to the point it comes alive and — as Hollywood would have us believe — starts to wreak havoc. Cheery stuff! However, in recent years, we’ve seen an explosion of AI and machine learning technology that, so far, has shown us a fun side with people using AI for creating, planning, and ideating in a big way.

How to make a chatbot: Dos and don'ts for developers in an AI-driven world

Every day the world is becoming increasingly powered by artificial intelligence. In fact, you’d struggle to find tech companies that have not announced AI integrations into their tech stack in one way or another. Cynics might say this is a passing phase, but the reason AI is so popular is that it’s a versatile set of capabilities that can help solve a lot of problems.

PostgreSQL for AI applications

If you’re working with AI, you’re working with data. From numerical data to videos or images, regardless of your industry or use case, every AI project depends on data in some form. The question is: how can you efficiently store that data and use it when building your models? One answer is PostgreSQL, a proven and well-loved database that, thanks to recent developments, has become a strong choice to support AI.

Accelerate AIOps with Hollywood's Human-Friendly AI Insights

AI has emerged as a major inflection point in the technology industry, driving providers to rush to introduce AI-enhanced products and services. The remarkable momentum surrounding AI, fueled by its perceived value and excitement, is evident, with businesses reporting an average return on investment of 3.5 times or 250%, according to IDC. Consequently, it comes as no surprise that IDC anticipates a shift in IT spending toward AI.