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Cool Site Shows Exactly Which Books Zuckerberg's Minions Illegally Downloaded to Train Meta's AI

Flipboard

The large language models (LLMs) that underpin products like OpenAI's ChatGPT, for instance, need to devour enormous datasets of written words to fine tune an algorithm to follow the rules of language. They're so hungry for raw data, in fact, that original material for these algorithms to gobble up is becoming hard to come by.

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10 Surprising Things You Can Do with Python’s collections Module

KDnuggets

Matthew Mayo ( @mattmayo13 ) holds a masters degree in computer science and a graduate diploma in data mining. As managing editor of KDnuggets & Statology , and contributing editor at Machine Learning Mastery , Matthew aims to make complex data science concepts accessible.

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10 Free Online Courses to Master Python in 2025

KDnuggets

Automate the Boring Stuff With Python (Al Sweigart) Platform: Automate the Boring Stuff Level: Beginner to intermediate Why Take It: This book is made available for free by its author. It teaches Python by automating repetitive computer tasks, which makes it practical and immediately applicable to real life.

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Implementing Approximate Nearest Neighbor Search with KD-Trees

PyImageSearch

These scenarios demand efficient algorithms to process and retrieve relevant data swiftly. This is where Approximate Nearest Neighbor (ANN) search algorithms come into play. ANN algorithms are designed to quickly find data points close to a given query point without necessarily being the absolute closest.

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5 Data Science Case Studies Worth Your Attention

Pickl AI

Approach To address this issue, Pfizer implemented Machine Learning algorithms that analysed historical maintenance data to forecast future maintenance needs. Implementation Data Scientists created algorithms that processed vast datasets to identify trends and preferences among users. Frequently Asked Questions What is Data Science?

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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning Blog

Services class Texts belonging to this class consist of explicit requests for services such as room reservations, hotel bookings, dining services, cinema information, tourism-related inquiries, and similar service-oriented requests. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

Data retrieval and augmentation – When a query is initiated, the Vector Database Snap Pack retrieves relevant vectors from OpenSearch Service using similarity search algorithms to match the query with stored vectors. He focuses on Deep learning including NLP and Computer Vision domains.

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