Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. It's a multi-modal landscape filled with images, audio, and video. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning.

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Towards AI

JANUARY 31, 2024

Author(s): Max Charney Originally published on Towards AI. Source: [link] Introduction When I first started reading papers involving deep learning, I often encountered discussions about high-dimensions (feature spaces) and models such as SqueezeNet. Here’s one source to learn more: video. Let’s look at an example.

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Mlearning.ai

JUNE 14, 2023

Machine Learning, a foundation of the recent AI revolution, brings innovation to a medical domain such as patient disease diagnosis. With advancements in the development of deep learning algorithms, availability of computational power, and a large dataset, minute detail of an image can be highlighted and interpreted.

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AWS Machine Learning Blog

MARCH 15, 2024

In this post, we discuss the value and potential impact of federated learning in the healthcare field. Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. Stroke victims can lose around 1.9

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. Let’s talk about “Cryptonite: How I Stopped Worrying and Learned(?) Jerome in his Study | Durer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.14.21 which is on par with rule-based accuracy ?.

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AWS Machine Learning Blog

APRIL 29, 2024

Continual pre-training techniques like the ones described in this post require access to high-performance compute instances, which has become more difficult to get as more developers are using generative artificial intelligence (AI) and LLMs for their applications. Why Trainium?

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phData

JUNE 7, 2023

In Short It is clear that AI is being used to power up businesses now more than ever, and companies that don’t use AI risk being outcompeted by those who do. The best AI-powered products are fueled by a diverse collection of high-quality data. But how do you take the first steps toward implementing AI?

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