The camera never lies? Creator of #AI image rejects prestigious photo award:
AI
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Reddit data value and AI training compensation debate
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“The Reddit corpus of data is really valuable. But we don’t need to give all of that value to some of the largest companies in the world for free": @MikeIsaac on the digital text used to train A.I.:
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Vintage Data Expected to Surpass Vintage Wine in Value
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Omg vintage data will become more valuable than vintage wine.
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AI Model Limitations with BPD Topic Mentions
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Ah, so if you explicitly mention BPD it says something like “as an AI model, I can’t answer that”?
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SpectFormer Improves Vision Transformers via Frequency Attention
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Microsoft & Bath U’s SpectFormer Significantly Improves Vision Transformers via Frequency and Attention https://
syncedreview.com/2023/04/18/mic
rosoft-bath-us-spectformer-significantly-improves-vision-transformers-via-frequency-and-attention/
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MLflow 2.3 Releases New LLM Management and Deployment Features
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Introducing #MLflow 2.3! The latest release makes it easier than ever to manage & deploy #LLMs (including Dolly 2.0!) and is packed with innovation including 3 new model flavors: HuggingFace Transformers, OpenAI functions & LangChain. See what’s new! https://
bit.ly/40eO4fP -
H2O World Comes to India for First Time
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H2O World comes to India for the first time, coinciding with the rise of AI and Data Science talent in the country! Read more here: http://
ow.ly/ovJa50NMnPm #AI #DataScience #H2OWorldIndia -
ChatGPT Name Has Amusing French Language Pronunciation
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It translates to “cat, I farted” if you pronounce the letters (chat, j'ai pété). Not that I think that every time someone says ChatGPT.
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Salesforce Integrates Generative AI into CRM Platform
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Salesforce bring Generative AI to Customer Relationship Management.#AI will enhance customer relationships & experiences. https://t.co/N4QMY8IzII
— AI (@DeepLearn007) 18 avril 2023Salesforce bring Generative AI to Customer Relationship Management. #AI will enhance customer relationships & experiences.
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Scaling Laws Enable Predictable Model Performance
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I don't think so? "Scaling laws" states that perplexity is highly predictable. For example, GPT-4's loss on some evaluations can be predicted with models of less than 1,000x compute. (
https://
arxiv.org/pdf/2303.08774
.pdf
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Should be a clear difference between things that can be predicted with