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How educators are using AI in the classroom

Flipboard

In 2018, ISTE and General Motors launched a professional development course to train educators on how to use AI for teaching and learning. In five years, we will have something that has been built without any input from teachers and without any shaping around the needs of education,” Culatta said.

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4 Key Risks of Implementing AI: Real-Life Examples & Solutions

Dlabs.ai

While AI systems can automate many tasks, they should not completely replace human judgment and intuition. The International Data Corporation predicts that the global datasphere will swell from 33 zettabytes in 2018 to a staggering 175 zettabytes by 2025.

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Humans can still extort more money from me than machines can

Hal Daumé III

Instead they had a row of kiosks, each with a monitor and camera and old school phone that I kid you not looked like: Complete with curly cord. You go up to the device, and it auto-dials a real person. I can't remember what company it was, but they didn't have "live people" at the booth. So how does this work?

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AI Decoded: Demystifying AI and the Hardware, Software and Tools That Power It

NVIDIA

With the 2018 launch of RTX technologies and the first consumer GPU built for AI — GeForce RTX — NVIDIA accelerated the shift to AI computing. And it can stay centered on the screen with eyes looking at the camera no matter where the user moves, using Auto Frame and Eye Contact. Magic Mask has completely changed that workflow.

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A Gentle Introduction to GPTs

Mlearning.ai

The auto-complete feature on your smartphone is based on this principle. When you type “how”, the auto-complete will suggest words like “to” or “are”. GPT-3 is a successor to the earlier GPT-2 (released in Feb 2019) and GPT-1 (released in June 2018) models .

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Deon Nicholas, Co-Founder & CEO of Forethought – Interview Series

Unite.AI

The company’s AI can learn from internal documents, email, chat and even old support tickets to automatically resolve auto-route tickets correctly, and quickly surface the most relevant institutional knowledge. But for example, GPT two was launched, I believe in 2018, 2019, and open source, and there were other models like T5.

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Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

Overview of BERT (Bidirectional Encoder Representations from Transformers) BERT, short for Bidirectional Encoder Representations from Transformers, is a revolutionary LLM introduced by Google in 2018. It is an auto-regressive language model based on the transformer architecture that comes in different sizes: 7B, 13B, 33B and 65B parameters.