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Stop Treating Your LLM Like a Database

This article was originally published on The New Stack on Dec. 19, 2024. Imagine driving a car with a headset that only updates your view every five minutes instead of providing a continuous video stream. How long would it take before you crashed? While this type of batch processing clearly doesn’t work in the real world, it's how many systems operate today. Batch processing, born out of outdated technology constraints, forces applications to rely on static, delayed data.

Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

In today’s dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Here’s a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives.

Building a Gen AI Wine Country Visit Assistant with Fivetran and Google Cloud

Discover how to build a powerful Retrieval Augmented Generation (RAG) application that that changes the way you explore California’s wine country. Using the latest technologies from Fivetran and Google Cloud, this tutorial will guide you through the creation of a Gen AI-powered travel assistant that integrates structured data with advanced Gen AI capabilities.

Predictive Models Are Nothing Without Trust

Airports are an interconnected system where one unforeseen event can tip the scale into chaos. For a smaller airport in Canada, data has grown to be its North Star in an industry full of surprises. In order for data to bring true value to operations–and ultimately customer experiences–those data insights must be grounded in trust.

Publish your Flutter app to Google Play Store with Codemagic CI/CD

In this article, I will introduce the steps to release a Flutter app to the Google Play Store using the Codemagic CI/CD tool. If you have been uploading your app to Google Play manually and want to simplify that process, I hope you find this article helpful.

What is Traffic Mirroring: A Complete Guide

Ensuring seamless data flow and robust application performance is crucial in modern networking and cloud computing. Traffic mirroring enables enhanced network observability, allows for effective troubleshooting, and facilitates the testing of new features without interrupting live traffic. It captures and replicates network traffic, providing a powerful solution for maintaining and optimizing network operations.

Make Infor M3 Cloud Migration Easy With Spreadsheet Server

As organizations shift from on-premise to cloud-based systems, they need solutions that simplify the transition and optimize data use with ease. With a staggering 89% of businesses now using cloud technology in some capacity every day, it is vital that business leaders invest in solutions that make it easy to use cloud applications and get the same or better results that they’re used to with on-prem solutions.

Mastering LLM Chatbot Testing: Metrics, Methods and Mistakes to Avoid | James Massa | #Testflix 2024

In this session, James Massa, Senior Executive Director of Software Engineering and Architecture at JPMorgan Chase, dives into the critical elements of mastering LLM (Large Language Model) chatbot testing. As AI-driven chatbots take center stage in user interactions, even the slightest flaw in testing can result in significant, high-profile failures. James will guide you through the cutting-edge techniques used to rigorously test these advanced systems, ensuring optimal performance while helping you avoid common pitfalls that could derail your chatbot’s success.

Scaling Web Scraping With Data Streaming, Agentic AI, and GenAI

In building the next generation of web agents, we need the simplest, fastest way to extract web data at scale for production use cases. And for every new generative AI (GenAI) application, developers and businesses need reliable data to power the underlying models. But getting that data in a usable, trustworthy format? That’s where things get complicated.