The legal buzzword to use is "non-expressive use" here! It's a workaround for Copyright. Here's how it works: Since Copyright only applies to expressions and not ideas/data, you use semantic & "ontological games with legal implications" to avoid Copyright.
AI
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Training to Convergence for Optimal Inference Performance
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A real search engine shows no sign of the "inference optimal" phrase; I agree with your assessment that you posted in your own thread FWIW. Train to convergence if you want inference optimal.
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Optimal in Relative Terms: Chinchilla and Model Training
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They use "optimal" in a relative sense. I read it in a reply to my post, and then subsequently looked it up in LLM search engine—which happily told me why "Chinchilla is inference optimal because […]". But that's only relatively to undertrained models.
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Embracing Innovation in Engineering and Technology
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How to Embrace Innovation https://
mckinsey.com/featured-insig
hts/mckinsey-guide-to-managing-yourself/how-to-embrace-innovation
… @ASMEdotorg @3DSNorthAmerica @cyngn @MargaretSiegien @3DSdelmia @3DStherese @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Science #Engineering #Technology #SET -
Training AI Models with Extended 30k Context Windows
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Worth mentioning that we can also train these models with very large context windows — up to 30k instead of 1k like the original.
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Fast Personalization Encoder for Text-to-Image Models
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Designing an Encoder for Fast Personalization of Text-to-Image Models Gal et al.: https://
arxiv.org/abs/2302.12228 #ArtificialIntelligence #DeepLearning #MachineLearning -
Training from Scratch Pricing Table for Language Models
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Here's a screenshot of our training-from-scratch pricing table that is on the webpage posted in the previous thread. We can also train to non-Chinchilla – do you have more information about the dataset?
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UK Students Challenge: Join McLaren Datathon Round 1 March 6
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UK-based students, are you up for a challenge? Start your engines and sign up for Round 1 of our virtual McLaren Datathon on March 6. Do you think you have what it takes? Reserve your spot: http://
ow.ly/g2mB50N2MWg -
Large Language Models Generate Cumulative Ambiguities Not Certainties
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Humans have to generate a lot of words to try and explain the potential & challenges of large language #AI models https://
wsj.com/articles/chatg
pt-heralds-an-intellectual-revolution-enlightenment-artificial-intelligence-homo-technicus-technology-cognition-morality-philosophy-774331c6?mod=opinion_lead_pos5
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"Enlightenment science accumulated certainties; the new AI generates cumulative ambiguities" -
Avoiding Data Fallacies: Strategies for Successful Data Science
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Stop making assumptions about data and unlock its full potential! Avoid common #DataFallacies and use the right strategies for successful #DataScience projects. By @ingliguori #AI #BigData #CloudComputing #Fintech #Python #Cybersecurity #100DaysOfCode #JavaScript #IoT #innovation