Remove ChatGPT Remove Data Engineering Remove Google Cloud
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Beyond the hype: 4 use cases that show what’s actually working with gen AI

CIO

Plus, according to a recent survey of 2,500 senior leaders of global enterprises conducted by Google Cloud and National Research Group, 34% say theyre already seeing ROI for individual productivity gen AI use cases, and 33% expect to see ROI within the next year. And about 70% of the code thats recommended by Copilot we actually adopt.

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What is Oracle’s generative AI strategy?

CIO

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. While AWS, Google Cloud, Microsoft, and IBM have laid out how their AI services are going to work, most of these services are currently in preview.

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Should you build or buy generative AI?

CIO

Since the release of ChatGPT last November, interest in generative AI has skyrocketed. As a ‘taker,’ you consume generative AI through either an API, like ChatGPT, or through another application, like GitHub Copilot, for software acceleration when you do coding,” he says.

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AI Engineer Vs. ML Engineer: Differentiating Between Roles

Mobilunity

Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. It includes subjects like data engineering, model optimization, and deployment in real-world conditions. Data engineer. Big Data technologies.

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A Comprehensive Guide On AI Prompt Engineer Salary 2024-2025 

Mobilunity

Data science and data analysis certification from IBM, Google, or Johns Hopkins University The mix of linguistic studies, computer science, and AI and NLP-related certifications from top platforms like Google Cloud, DeepLearning.ai, and Microsoft are vital for obtaining the expertise and skills to work as a prompt designer.

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An LLM Engineer: A Handbook On The Discipline

Mobilunity

We already have our personalized virtual assistants generating human-like texts, understanding the context, extracting necessary data, and interacting as naturally as humans. It’s all possible thanks to LLM engineers – people, responsible for building the next generation of smart systems.

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Technology Trends for 2025

O'Reilly Media - Ideas

That trend started with ChatGPT and its descendants, most recently GPT 4o1. But unlike 2022, when ChatGPT was the only show anyone cared about, we now have many contenders. After a shaky start, Googles Gemini models have become solid performers. Or will it drop back, much as ChatGPT and GPT did?

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