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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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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Unite.AI

NOVEMBER 1, 2023

In an effort to enhance the efficiency of software engineering, including the effectiveness of software and reduced development costs, scientists are exploring the use of deep-learning-based frameworks to tackle various tasks within the software development process.

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Software Development Large Language Models LLM Natural Language Processing 264

Unite.AI

AUGUST 2, 2023

Machine learning models have heavily relied on labeled data for training, and traditionally speaking, training models on labeled data yields accurate results. To tackle the annotation issue, developers came up with the concept of SSL or Self Supervised Learning. They require a high amount of computational power.

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ML Review

MARCH 5, 2019

Different lenses to see through AI; motivations and introduction to our web app At MTank , we work towards two goals. (1) 2) Make progress towards creating truly intelligent machines. As part of these efforts we release pieces about our work for people to enjoy and learn from. 1) Model and distil knowledge within AI. (2)

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Topbots

DECEMBER 5, 2023

This introduction provides a glimpse into the transformative research that unfolded in the field, where language models have been refined, scaled down, and even integrated with external tools to tackle a diverse range of tasks. Where to learn more about this research? Where to learn more about this research?

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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. license.

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Unite.AI

APRIL 10, 2024

I joined The Allen Institute for Artificial Intelligence (AI2) as an Entrepreneur in Residence in 2018. Throughout my career, I’ve been lucky enough to work with a number of startups that have gone on to have some pretty incredible runs. Why did you believe it was important to integrate real voices into the product?

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Pragnakalp

JANUARY 1, 2024

Introduction Welcome to the world of Mistral AI, where revolutionary developments in Language Model Technology meet user-friendly innovation! Mistral AI proudly presents Mistral 7B, an intelligent solution designed to understand and manipulate language in a manner similar to human perception. Mixtral-8x7B-v0.1 : Mixtral-8x7B-v0.1

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Towards AI

JANUARY 31, 2024

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. In this article, I will discuss how dimensions play a role in machine learning and where these dimensions can be seen in real applications.

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ML Review

JUNE 4, 2018

2017)[ 51 ] Introduction to Image Captioning Suppose that we asked you to caption an image; that is to describe the image using a sentence. Image captioning is interesting to us because it concerns what we understand about perception with respect to machines. Thanks for reading! Source: Lu et al.

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ML Review

MAY 3, 2018

Introduction In this series of pieces we decided to examine the interplay between Computer Vision (CV) and Natural Language Processing (NLP) — a fitting segue from the previous CV-centric piece: “ A Year in Computer Vision ” (available here ) [1]. An experience that weighs learning heavily. Thanks for reading!

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Neural Network Computer Vision Deep Learning Convolutional Neural Networks 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. This flexibility can provide more robust and insightful model development. The choices are: Ensemble: Uses the AutoGluon library to train several base models.

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