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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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OpenAI closes $300M share sale at $27B-29B valuation

TechCrunch

OpenAI , the startup behind the widely used conversational AI model ChatGPT, has picked up new backers, TechCrunch has learned. If all this is accurate, this is the closing of the tender offer the Wall Street Journal reported was in the works in January. It was upgraded with multimodal LLM GPT-4 in March.

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Cybersecurity Snapshot: A ChatGPT Special Edition About What Matters Most to Cyber Pros

Tenable

Since ChatGPT’s release in November, the world has seemingly been on an “all day, every day” discussion about the generative AI chatbot’s impressive skills, evident limitations and potential to be used for good and evil. In this special edition, we highlight six things about ChatGPT that matter right now to cybersecurity practitioners.

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What is ChatGPT? How to find out ChatGPT’s work?

Perficient

One such AI tool that is making headlines is “ ChatGPT” What is ChatGPT? Introducing ChatGPT – We’ve trained a model called ChatGPT which interacts in a conversational way. that is how OpenAI, the inventor, defines ChatGPT. that is how OpenAI, the inventor, defines ChatGPT.

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Zoom knots itself a legal tangle over use of customer data for training AI models

TechCrunch

The recent terms & conditions controversy sequence goes like this: A clause added to Zoom’s legalese back in March 2023 grabbed attention on Monday after a post on Hacker News claimed it allowed the company to use customer data to train AI models “with no opt out” Cue outrage on social media.

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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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8 big IT failures of 2023

CIO

The company used software from two different vendors for the purposes of “interoperability testing, validation and customer proofs of concept, training and customer support.” Unfortunately, they did all that using versions of the software that were marked for evaluation purposes only, an “evaluation” process that lasted for years.

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