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Top Data Science Specializations for 2024

Analytics Vidhya

And why should one consider specializing in it? Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya. But what exactly is Data Science?

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Video Highlights: A Code-Specialized LLM Will Realize AGI — with Jason Warner

insideBIGDATA

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by poolside co-founder and CEO Jason Warner who sheds light on how code-specialized LLMs could vastly outperform generalized counterparts like GPT-4.

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30+ MCQs on Python Special Methods(Dunder Methods)

Analytics Vidhya

Welcome to the Python Special Methods MCQs! Special methods, also known as “magic” or “dunder” methods, are prefixed and suffixed with double underscores in Python. These methods provide functionality to classes that enable them to emulate built-in types or operations.

Python 248
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Google’s Specialized Vector Embedding Tools for Dermatology and Pathology Research in Healthcare

Data Science Dojo

In this blog, we will explore Google’s recent development of specialized embedding tools that particularly focus on promoting research in the fields of dermatology and pathology. General embedding tools process a wide variety of data, capturing general features without focusing on specialized fields of interest.

ML 195
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Data Scientists Need to Specialize to Survive the Tech Winter

KDnuggets

In this article, I explore the benefits of specialization for data scientists. Drawing on my own experience as a data scientist, I argue that specializing in a specific area can help you stand out in a crowded job market and provide you with more fulfilling career opportunities.

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Special Characters Attack: Toward Scalable Training Data Extraction from LLMs

Hacker News

In this paper, we take a step further and show that certain special characters or their combinations with English letters are stronger memory triggers, leading to more severe data leakage. The intuition is that, since LLMs are trained with massive data that contains a substantial amount of special characters (e.g.

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Specialized models: How AI is following the path of hardware evolution

Flipboard

The industry shift towards deploying smaller, more specialized — and therefore more efficient — AI models mirrors a transformation we’ve previously witnessed in the hardware world. Namely, the adoption of graphics processing units (GPUs), tensor processing units (TPUs) and other hardware …

AI 145