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The AI continuum

CIO Business Intelligence

AI Options From a high-level standpoint, here are the AI options: Generative AI: The state of the art Current generative AI leaders, OpenAI ChatGPT, Meta Llama2, and Adobe Firefly, use LLMs to produce immediate value for knowledge workers, creatives, and business operations. Here is some guidance. What’s the right infrastructure for AI?

Dell 110
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Understanding Readium – Features, Architecture and Alternatives

Kitaboo

The Open Source Foundation aims to develop technology for expediting the adoption of ePUB3 and the Open Web Platform by the Digital Publishing Industry. It strives to deliver leading-edge functionality that is fully specified, free, open, and interoperable. Architecture of Readium. Download Now!

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Five Ways to Advance your Career with Modern Data Architecture

The Investing Edge

They are using a modern data architecture to select the highest-quality service providers from among thousands, and predict driver assistance needs based on a complex blend of traffic patterns, weather forecasts, and incident history. So what is “big data” and what makes your data architecture “modern”?

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OpenStack Summit Sydney Day 1 Keynote

Scott Lowe

Bryce also reflects on the nature of OpenStack, looking at the four “opens” (open source, open design, open technology, and open community). Bryce brings out Alison Randall to talk about how integration is a key effort to help put open source innovation to work for users and customers.

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Autonomous AI agents are here and AutoGPT is one of the first to arrive

Dataconomy

AutoGPT is an experimental open-source application that showcases the capabilities of the GPT-4 language model. — ChaosGPT (@chaos_gpt) April 5, 2023 Reminder : GPT-4 is a deep neural network that can generate natural language texts on various topics and domains, given some input or prompt.

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AI-generated images are taking over the world and you can’t do anything about it

Dataconomy

AI-generated images are the result of intricate algorithms, deep learning models, and neural networks. Since then, AI art has evolved and diversified, incorporating various techniques and applications such as neural networks, evolutionary algorithms, generative adversarial networks (GANs), style transfer, text-to-image synthesis, and more.

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Meet PaLM 2, Google’s latest effort to get back to the AI race

Dataconomy

In addition, PaLM 2 is open source, which means that it is available to anyone to use and improve. PaLM 2 is a neural network model that is trained on a massive dataset of text and code. Both models use a transformer architecture, which is a neural network design that enables parallel processing and long-range dependencies.

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