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ChatGPT, Author of The Quixote

O'Reilly Media - Ideas

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

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Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium

AWS Machine Learning - AI

Their quick adoption is evident by the amount of time required to reach a 100 million users, which has gone from “4.5yrs by facebook” to an all-time low of mere “2 months by ChatGPT.” A generative pre-trained transformer (GPT) uses causal autoregressive updates to make prediction. We’ll outline how we cost-effectively (3.2

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Lading into Generative AI: Transformers

Perficient

Machine Learning Era (1990s-2010s): Machine Learning Era The dawn of this era was defined by a paradigm shift towards data-driven approaches, primarily through the advent and refinement of machine learning and artificial neural networks. Pre-training imbues the model with a depth of linguistic competence.

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My belated 2022 recap: blog posts and articles

Puppies, Flowers, Rainbows and Kittens

Web3 is B t [link] t.html by Stephen Diehl You’ll probably hear the fuzzy term web3 bandied about in the press if you read tech journalism. I’ve broken it into sections based on content. Sprinkled around, all these articles are all manner of… The title says it all. He even gives some good advice. So worth a read.

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Named Entity Recognition: The Mechanism, Methods, Use Cases, and Implementation Tips

Altexsoft

This is a collection of texts used for linguistic analysis and training NER models. A corpus can range from a set of news articles to academic journals or even social media posts. Word embeddings translate words or phrases into numerical vectors of fixed size, making it easier for machine learning models to process.

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AI Image Generation Explained: Techniques, Applications, and Limitations

Altexsoft

AI image generators utilize trained artificial neural networks to create images from scratch. AI image generators are trained on an extensive amount of data, which comprises large datasets of images. Through the training process, the algorithms learn different aspects and characteristics of the images within the datasets.