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Inching towards AGI: How reasoning and deep research are expanding AI from statistical prediction to structured problem-solving

Flipboard

Back in 2017, my firm launched an AI Center of Excellence. AI was certainly getting better at predictive analytics and many machine learning (ML) algorithms were being used for voice recognition, spam detection, spell ch… Read More GUEST: AI has evolved at an astonishing pace.

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Trends Shaping Machine Learning in 2017

Dataconomy

The introduction of Machine Learning has revolutionized the world of data science by enabling computers to classify and comprehend large data sets. The post Trends Shaping Machine Learning in 2017 appeared first on Dataconomy. Technologies in the field of data science are progressing at an exponential rate.

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From Concept to Code: Unveiling the ChatGPT Algorithm

Towards AI

Nevertheless, when I started familiarizing myself with the algorithm of LLMs the so-called transformer I had to go through many different sources to feel like I really understood the topic.In How does the algorithm conclude which token to output next? this article, I want to summarize my understanding of Large Language Models.

Algorithm 105
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Machine Learning Could Slash Car Accident Casualties in Coming Years

Smart Data Collective

When most people consider the merits of machine learning, they typically think about its applications from a capitalist standpoint. There are countless ways that business owners are using machine learning advances to pad their bottom lines. They learn to identify numerous risk factors and alert the driver.

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Understanding and coding Neural Networks From Scratch in Python and R

Analytics Vidhya

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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Counting shots, making strides: Zero, one and few-shot learning unleashed 

Data Science Dojo

In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. Welcome to the frontier of machine learning innovation!

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Using KNIME for Data Driven Decision Making

Analytics Vidhya

Introduction In 2017, The Economist declared that “the world’s most valuable resource is no longer oil, but data.” Companies like Google, Amazon, and Microsoft gather large bytes of data, harvest it, and create complex tracking algorithms. This article was published as a part of the Data Science Blogathon.