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7 cloud market trends and how they will impact IT

CIO

The frenzy created by the public release of OpenAI’s ChatGPT has triggered an arms race among hyperscalers to differentiate themselves by developing their own large language models (LLMs), building platforms that enable enterprises to create generative AI applications, and integrating generative AI throughout their portfolios of service offerings.

Trends 362
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Radar Trends to Watch: January 2023

O'Reilly Media - Ideas

It’s been known to impersonate Linux, help developers learn new programming languages, and even improve traditional college courses (where its ability to make mistakes can be turned into an asset). One developer has integrated ChatGPT into an IDE , where it can answer questions about the codebase he’s working on. And ChatGPT?

Trends 101
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Radar Trends to Watch: October 2023

O'Reilly Media - Ideas

This month, the AI category is limited to developments about AI itself; tools for AI programming are covered in the Programming section. Sony and Meta have developed new ways to measure racial bias in computer vision. Sony has developed a two dimensional model for skin tone that accounts for hue in addition to darkness.

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Radar Trends to Watch: June 2023

O'Reilly Media - Ideas

MLC LLM , from developers of Web LLM , allows many different combinations of hardware and operating systems to run small large language models entirely locally. It supports iPhones, Windows, Linux, MacOS, and web browsers. DeepFloyd IF is a new generative art (text-to-image) model developed by Stability.AI. It’s not just Linux.

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Radar trends to watch: October 2021

O'Reilly Media - Ideas

The unwilling star of this month’s trends is clearly Facebook. Fraunhofer has developed a system for detecting whether a driver is tired or asleep. A breakthrough in building phase change memory that consumes little power may make phase change memory practical, allowing tighter integration between processors and storage.

Trends 124
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Radar Trends to Watch: July 2022

O'Reilly Media - Ideas

Big Science has almost finished training its open source BLOOM language model , which was developed by volunteer researchers and trained using public funds. Pete Warden’s proposal for ML Sensors could make developing embedded ML systems much simpler: push the machine learning into the sensors themselves. Artificial Intelligence.

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Radar trends to watch: May 2021

O'Reilly Media - Ideas

A developed at Berkeley robot has taught itself to walk using reinforcement learning. Traditional” cryptography only protects data in storage or in transit; to use data in computation, it must be decrypted. Researchers” from the University of Minnesota have deliberately tried to insert vulnerabilities into the Linux kernel.

Trends 76