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Microsoft Pledged to Save Water. In the A.I. Era, It Expects Water Use to Soar.

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.

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TikTok announces it has finalized deal to establish US entity, sidestepping ban

Majority US-owned venture includes Larry Ellison’s Oracle, private-equity group Silver Lake and Abu Dhabi’s MGXTikTok announced on Thursday that it had closed a deal to establish a new US entity, allowing it to sidestep a ban and ending a long legal battle.The deal finalized by ByteDance, TikTok’s Chinese owner, sets up a majority American-owned venture,

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Keysight Rolls Out Software to Validate Safety-Critical AI

Keysight Technologies has launched AI Software Integrity Builder, a software solution to validate and maintain AI-enabled systems in safety-critical environments, including automotive. The company said the tool addresses rising regulatory scrutiny, complex AI development cycles and the need for trustworthy deployment across the AI lifecycle. The solution supports AI development, real-world inference testing and ongoing

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Amazon in talks to invest $10bn in developer of ChatGPT

OpenAI seeking to strike latest deal in its efforts to pay for huge spending on datacentresBusiness live – latest updatesAmazon is in talks to invest more than $10bn (£7.5bn) in OpenAI, in the latest funding deal being struck by the startup behind ChatGPT.If it goes ahead, the market valuation of OpenAI could rise above $500bn,

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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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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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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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