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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. For his class on mathematical statistics, Ross asked his students to research theorems, their inventors and explain how the theorems were proved — without the help of AI.

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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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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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Optimize your machine learning deployments with auto scaling on Amazon SageMaker

AWS Machine Learning Blog

SageMaker supports automatic scaling (auto scaling) for your hosted models. Auto scaling dynamically adjusts the number of instances provisioned for a model in response to changes in your inference workload. When the workload increases, auto scaling brings more instances online. SageMaker supports three auto scaling options.

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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

In zero-shot learning, no examples of task completion are provided in the model. Chain-of-thought Prompting Chain-of-thought prompting leverages the inherent auto-regressive properties of large language models (LLMs), which excel at predicting the next word in a given sequence.

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FM Summit shows Foundation Model hurdles and potential

Snorkel AI

A 2018 study from McKinsey estimated the total global unclaimed value potential from AI/ML at $10-15 trillion, and Foundation Models will enable valuable applications that the firm couldn’t conceive of four years ago. He gave the example of Sparrow.ai.

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McKinsey QuantumBlack experts: exciting foundation model future

Snorkel AI

In 2018, we did a piece of research where we tried to estimate the value of AI and machine learning across geographies, across use cases, and across sectors. One is compared to our first survey conducted in 2018, we see more enterprises investing in AI capability. How can I fulfill my obligation to explain ability?” “Can