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AI Explainer: The Dirty Little Secret About ChatGPT

ChatGPT, developed by OpenAI and launched in November 2022, isn’t the only large language model that has received lots of attention lately, but it’s by far the most widely known. A previous blog post that listed a glossary of AI terms included this brief definition: You may have read over the past year that GPT-4 (the paid version of ChatGPT) has been able to pass many difficult exams. Here are just a few.

The Significant Role of Technology in the Criminal Justice Sector

The integration of technology into the criminal justice sector has marked a significant evolution in the way law enforcement, legal proceedings, and correctional operations are conducted. This paradigm shift has led to more efficient processes, enhanced accuracy in investigations, and improved overall effectiveness of the justice system. In an era where digital advancements are rapidly transforming various sectors, the criminal justice field is no exception. From forensic analysis to surveillance and data management to online education, technology plays a pivotal role in every aspect of criminal justice.

Climate Data Unleashed: Empowering Data Engineers to Drive Environmental Change

In an era where climate change poses a formidable challenge to our planet, the power of data has never been more critical. Data engineers, with their unique skill set, stand at the forefront of this battle, harnessing the vast expanse of climate data to drive sustainable change and inform crucial decision-making. This article aims to inspire and guide data engineers looking for their next meaningful project.

Advancing Cloud Monitoring: Benefits of Synthetic Monitoring

The cloud changed how businesses work, making things more flexible and adaptable. But keeping track of app performance from a user’s point of view in this new setup is tough. Legacy tools tend to not give developers an understanding of their users' perspective. That's where synthetic monitoring comes in. It's a strong way to focus on users and fix the problems that legacy tools miss.

Building a comprehensive toolkit for machine learning

In the last couple of years, the AI landscape has evolved from a researched-focused practice to a discipline delivering production-grade projects that are transforming operations across industries. Enterprises are growing their AI budgets, and are open to investing both in infrastructure and talent to accelerate their initiatives – so it’s the ideal time to make sure that you have a comprehensive toolkit for machine learning (ML).

Top tips: Four compelling use cases for AI in FinTech

Top tips is a weekly column where we highlight what’s trending in the tech world today and list out ways to explore these trends. This week, we’re examining four use cases for AI in the ever-growing FinTech sector. The FinTech sector has transformed the discussion around the financial services industry from top to bottom.

Canonical releases Charmed Kubeflow 1.8

Canonical, the publisher of Ubuntu, announced today the general availability of Charmed Kubeflow 1.8. Charmed Kubeflow is an open source, end-to-end MLOps platform that enables professionals to easily develop and deploy AI/ML models. It runs on any cloud, including hybrid cloud or multi-cloud scenarios. This latest release also offers the ability to run AI/ML workloads in air-gapped environments.

Monitor Amazon Bedrock with Datadog

Amazon Bedrock is a fully managed service that offers foundation models (FMs) built by leading AI companies, such as AI21 labs, Meta, and Amazon along with other tools for building generative AI applications. After enabling access to validation and training data stored in Amazon S3, customers can fine-tune their FMs to invoke tasks such as text generation, content creation, and chatbot Q&A—without provisioning or managing any infrastructure.