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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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Paraphrasing tools: How AI and machine learning algorithms revolutionize content rewriting in 2023

Data Science Dojo

Learn how the synergy of AI and Machine Learning algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Machine learning algorithms Machine learning is a subset of AI. You can download Pegasus using pip with simple instructions.

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Paraphrasing tools: How AI and machine learning algorithms revolutionize content rewriting in 2023

Data Science Dojo

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. You can download Pegasus using pip with simple instructions.

article thumbnail

Paraphrasing tools: How AI and machine learning algorithms revolutionize content rewriting in 2023

Data Science Dojo

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. You can download Pegasus using pip with simple instructions.

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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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Diagonalize Matrix for Data Compression with Singular Value Decomposition

PyImageSearch

Jump Right To The Downloads Section What Is Matrix Diagonalization? Singular Value Decomposition Singular Value Decomposition (SVD) is a popular algorithm used to diagonalize a matrix of an arbitrary shape. Power Iteration Algorithm Given a matrix of size , the power iteration algorithm to obtain , , and involves the following steps.

Algorithm 101
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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning Blog

To upload the dataset Download the dataset : Go to the Shoe Dataset page on Kaggle.com and download the dataset file (350.79MB) that contains the images. To search against the database, you can use a vector search, which is performed using the k-nearest neighbors (k-NN) algorithm. b64encode(image_file.read()).decode('utf-8')

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