The newly released 11 models are added to the Big Model ERNIE family:
– 5 general models: ERNIE 3.0 Tiny, ERNIE ViL 2.0, ERNIE ViLG 2.0, ERNIE-Layout, HelixFold-Single
– 1 task model: ERNIE-Code
– 5 industry models created by Baidu & Shenzhen Gas, Geely, Taikang, TCL, and Cihai
GENERATIVE AI
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Baidu releases 11 new ERNIE models across general and industry sectors
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Baidu Releases 11 New AI Models at Wave Summit
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At Wave Summit+ last week, Baidu released a wave of new AI technologies to drive AI adoption and further lower the threshold.
– 11 new AI Big Models – PaddlePaddle 2.4
– New features of AI-generated art platform
– A neural search system
Read more: http://
research.baidu.com/Blog/index-vie
w?id=174
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ChatGPT removes similar strings, suggesting hidden control codes
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The fact that ChatGPT removes not just this string, but any string formatted similarly, suggests there exist other control codes by ChatGPT, e.g. to mark the boundaries between user input and prior model output within the prompt context.
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The string ” represents end of generation in GPT-3 tokenizer
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The string “” is handled specially by GPT-3’s tokenizer to represent the end of a generation. Whenever this token is emitted, the model stops talking immediately:
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ChatGPT silently removes empty quote substrings from input
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A demonstration that ChatGPT silently removes from user input all substrings of form “” where “foobar” is any single word without whitespace:
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Montreal AI Pioneers Crypto AI Art NFT Collection
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IYKYK http://
MONTREAL.AI coined the term Crypto AI Art, the domain http://
CryptoAIArt.com and CryptoAIArt.Eth and the hashtag #CryptoAIArt. This AI art piece is part of the 1st and most important Crypto AI Art Collection : https://
opensea.io/collection/mon
trealai
… #MontrealAI #NFTs -
GenAI as Public Good: Automation, Augmentation and Inequality
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There will be a lot of focus on ‘will AI automate or augment?’ But if you follow argument espoused by @EMostaque that GenAI should be a public good, it becomes a universal resource. But, if it’s controlled by a few – it will invariably lead to huge disparities.
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ChatGPT Suggests Wait and Watch Approach to AI
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We need to wait & watch The above tweet itself was suggested by #ChatGPT 🙂
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Multimodal Learning for Objective Representation
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To address these issues, it is necessary to learn a vast amount of multimodal information (sound, image, text, etc.) using A LOT of data, in the hope of achieving the most objective representation of the world possible—something that is nearly impossible, yet still feasible with an 80-20 rule.
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ChatGPT: Human Evaluation of Solutions
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But with models like #ChatGPT, it goes beyond that. We don’t just want to know if it works or not. Instead, we aim to select the best-performing solutions from multiple options by having a human assess them.