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Amazon Q Apps: AI-Powered Development for All

The top cloud services providers are in the early stages of what will continue to be a ferocious competition to lead the rapidly expanding generative AI (GenAI) market and all are going hard through...

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AI-Assisted Coding: A Double-Edged Sword for Security

PARIS — Developers on a wide scale are using and creating AI models and large language models (LLMs), as these facilities offer both the creation of code and the development of applications for LLMs....

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Automating Context in Structured Data for LLMs

With the growth of machine learning and generative AI, users are learning they can’t just throw a bunch of data into a model and expect anything close to reliable results. The missing element:...

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SRE Hype Cycle: Where AI Meets ‘Everything as Code’

In June, Gartner released its Site Reliability Engineering (SRE) Hype Cycle for 2024, forecasting trends — rising, falling and peaking — companies can use when making site reliability decisions....

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AI and IDEs: Walking Through How JetBrains Is Approaching AI

Colleagues using Java have always rated IntelliJ, and more recently Rider for C#. So when I was given the opportunity to try JetBrains AI, which is an AI service that refers to itself as “AI...

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Creating a Strategic Roadmap for Effective AI Implementation

Enterprises are no longer experimenting with generative AI; they are integrating the technology into their core operations to drive efficiency, innovation and competitive advantage. Whether your...

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Faster Python, Easier Access to LLMs: Anaconda’s AI Roadmap

PITTSBURGH — Generative AI isn’t just code, it’s also data. And that’s a big challenge in creating a new stack for GenAI. Another challenge: Python, the language widely used for AI development, is...

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Develop a Master AI Agent With LangGraph in Python

LangGraph is a specialized tool within the LangChain ecosystem designed to streamline the creation and management of AI agents. It offers a robust framework for building stateful, multi-actor...

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AI Coding: Human Engineers Are More Important Than Ever

In the time it took you to read this sentence, an AI coding assistant could generate over 100 lines of working code. Should this be scary for human programmers? Not at all. This leap in productivity...

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How To Get Started Running Small Language Models at the Edge

In my previous article, I introduced the idea of federated language models that take advantage of large language models (LLM) running in the cloud and small language models (SLM) running at the edge....

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Rethinking Least Privilege in the Era of AI

In the old world of application security and access control, least privilege was a lovely ideal but nearly unworkable in practice. Every company of a certain size instituted role-based access controls...

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Non-Browser UI Platform for AI Offers Grants to Developers

Pim de Witte, software engineer and CEO of Medal, has a message for developers who want to use AI in their apps. “If you’re an AI app, you’ve got to get out of the browser,” de Witte told The New...

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7 LLM Risks and API Management Strategies to Keep Data Safe

Despite the explosion in enthusiasm surrounding large language models (LLMs), any new cloud-based software solution can create or expose new vulnerabilities. Let’s explore seven of the LLM...

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The Rise of Community-Driven Data Analysis in the Age of AI

Dana Calacci cares about data analysis — but even more, about the people who are affected by it. Or, as Calacci’s webpage puts it, “I study how data stewardship and analysis can impact community...

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Prepare Developers for Integrating AI Into Their Workflows

AI’s role in democratizing technology is reshaping the way we operate, and software developers are at the heart of this revolution. While many developers fear how AI may affect their careers, they...

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LLM Chains Are Transforming AI Development

As the digital landscape evolves, large language models are transforming interactions with technology, creating a paradigm shift in automation and efficiency. According to recent projections, the...

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The Evolution of the AI Stack: From Foundations to Agents

A new paradigm in AI tooling has emerged as AI’s focus shifts from ground-up model development to enabling software engineers and developers to build AI applications quickly and at scale. This is...

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Can AI Truly Transform the Developer Experience?

Product Marketing teams have been in overdrive for the past 12 months, talking loudly about the latest artificial intelligence advancements that will vastly improve developer experiences. And it’s...

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Jumpstart AI Workflows With Kubernetes AI Toolchain Operator

Generative AI is booming as industries and innovators look for ways to transform digital experiences. From AI chatbots to language translation tools, people are interacting with a common set of AI/ML...

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How To Use Generative AI To Find Your Next Tech Job

Today’s job applicant needs to not only know their own skills, experience and work history, they need to be savvy at search engine optimization to surface in applicant tracking systems (ATS). If you...

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