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Now you can break up with big tech at a bar: ‘cybersecurity disguised as a party’

ai, AI (Artificial Intelligence), Apple, Artificial Intelligence, Google, Meta, Microsoft, Open Source, OpenAI, Privacy, Software, Surveillance, Technology, US news

These digital security organizers bring the fight for online privacy to dance parties, wine meetups and reading groupsImani Thompson shows up at Wonderville Bar in Brooklyn looking ready for a DJ set, or to drink, or to dance the night away with friends. While she’ll probably do the latter, she’s also a cybersecurity organizer leading

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US tech firm Oracle cuts thousands of jobs as it steps up AI spending

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, Computing, Job losses, Oracle, Software, Technology, Technology sector, US news, World news

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

ADK, ai, AI (Artificial Intelligence), Artificial Intelligence, Software

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

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, GPT, Software

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

ai, AI (Artificial Intelligence), Artificial Intelligence, GPT, Software

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

ai, AI (Artificial Intelligence), Artificial Intelligence, Software

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

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, GPT, Software

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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