A.I. Is on Its Way to Upending Cybersecurity
With new systems from companies like Anthropic and OpenAI, hackers can attack with greater speed. The defense is more A.I.
Software
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US tech firm Oracle cuts thousands of jobs as it steps up AI spending
Company seeks to reassure investors that bet on artificial intelligence infrastructure will pay offOracle is cutting thousands of jobs as the US technology company seeks to reassure investors that its bet on AI infrastructure will pay off.The $420bn firm, headquartered in Austin, Texas, started letting employees go on Tuesday, with thousands of Oracle’s 160,000-strong workforce
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8 Reasons Developers Switch to Google ADK: Insights from Developer Interviews
Framework switching is expensive. It means rewriting code, retraining teams, and explaining decisions to stakeholders. Yet our recent interviews revealed that multiple development teams have made exactly this move – abandoning established tools like LangChain and Microsoft Semantic Kernel for Google’s relatively new Agent Development Kit. What’s driving these switches? We conducted over a dozen
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What is Fine-Tuning? Your Ultimate Guide to Tailoring AI Models in 2025
Are you looking to tailor AI technologies to meet your unique challenges? Fine-tuning could be the answer. The method refines pre-trained models (like GPT) to perfectly align them with a specific objective. That said, it’s important to know that fine-tuning isn’t one-size-fits-all. In this article, we’ll take a thorough look at fine-tuning. We’ll demystify how
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10 Steps to Successfully Implement GPT in Your Project
Are you considering implementing GPT in your business but unsure where to begin? You’re in the right place! We’ve prepared a step-by-step guide tailored just for you. To make things clear, we’ll walk you through each stage using a real-world example: our own ‘student agent’ developed using the GPT model. By drawing on our first-hand
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How to Set Up MLflow on AWS with Terraform: A Step-by-Step Guide
Deploying machine learning models can be daunting, particularly when considering the best environment to host your models. AWS and GCP offer robust cloud platforms, but the setup process varies significantly. Recently, we wrote a guide on deploying MLflow on Google Cloud Platform, and now we will share a comprehensive, step-by-step guide on setting up MLflow
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GPT-Based Projects: 11 Business & Tech Factors to Consider Before You Start
The ascent of large language models, particularly GPT, has marked one of the standout tech trends this year. Companies that have incorporated GPT models into their products have consistently reported heightened competitiveness and enhanced user satisfaction. Are you considering adding a GPT-based solution to your business framework? It would be a strategic move, and this
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Deploying MLflow in GCP Using Terraform: A Step-by-Step Guide
The complexities of managing and deploying ML infrastructure continue to grow and can indeed be daunting. Some time ago, we shared “A Step-by-step Guide To Setting Up MLflow On The Google Cloud Platform,” which was well-received. However, as time has passed, advancements in technology have offered us the potential to simplify and automate this process
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Effective Software Development: 7 Ways To Get More From ChatGPT & Copilot
Fears that artificial intelligence will take our jobs are overblown. The likelier scenario is tools like ChatGPT will simply increase our output. A recent MIT study points to this, showing how when white-collar workers had access to an assistive chatbot, it took them 40% less time to complete a task, while the quality of their
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Big Medical Image Preprocessing With Apache Beam | A Step-by-Step Guide
Using artificial intelligence in healthcare is fraught with challenges. A unique problem in the field is heavy input formats. Tissue samples are often digitalized in ultra-high resolution. And the file size of these images can be several gigabytes, making them impossible to load in a generic image viewer (due to a lack of memory to
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