Remove 2021 Remove Natural Language Processing Remove Supervised Learning
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What Is a Transformer Model?

Hacker News

They’re driving a wave of advances in machine learning some have dubbed transformer AI. Stanford researchers called transformers “foundation models” in an August 2021 paper because they see them driving a paradigm shift in AI. Transformers Replace CNNs, RNNs. Along the way, researchers found larger transformers performed better.

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Foundation models: a guide

Snorkel AI

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy.

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. All pharma giants, including Bayer, AstraZeneca, Takeda, Sanofi, Merck, and Pfizer, have stepped up spending in the hope to create new-age AI solutions that will bring cost efficiency, speed, and precision to the process.

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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021. A foundation model is built on a neural network model architecture to process information much like the human brain does.

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AI for Cybersecurity – Benefits, Challenges, and Use Cases

How to Learn Machine Learning

A recent study estimates that the global market for AI-based cybersecurity products was $15 billion in 2021, which is about to set a new milestone by 2030, as it is expected to reach around $135 billion. Globally, enterprises are learning more about investing in AI-based products for cyber threat detection and prevention.

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Swin Transformer: A Novel Hierarchical Vision Transformer for Object Recognition

Heartbeat

At a high level, the Swin Transformer is based on the transformer architecture, which was originally developed for natural language processing but has since been adapted for computer vision tasks. The Swin Transformer is part of a larger trend in deep learning towards attention-based models and self-supervised learning.

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How ChatGPT really works and will it change the field of IT and AI??—?a deep dive

Chatbots Life

Such models can also learn from a set of few examples The process of presenting a few examples is also called In-Context Learning , and it has been demonstrated that the process behaves similarly to supervised learning. The most recent training data is of ChatGPT from 2021 September.

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