I've been thinking about data quality & human factor in the process a lot lately, so write a short post on the topic: https://
lilianweng.github.io/posts/2024-02-
05-human-data-quality/
… More: If you are into the topic, my team is hiring Research Engineer for a new sub-team Human-AI Interaction: https://
openai.com/careers/resear
ch-engineer-human-ai-interaction
…
RESEARCH
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Data Quality and Human Factor in AI Systems
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Stable Audio Paper Details High-Quality Audio Generation Model
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Curious how @stableaudio works? The team’s just released a paper detailing how the model operates with high sampling rates, flexible audio lengths, and comprehensive composition: https://t.co/mIhbcXEVwT https://t.co/aHzaA28ILI
— Stability AI (@StabilityAI) 9 février 2024Curious how @stableaudio works? The team’s just released a paper detailing how the model operates with high sampling rates, flexible audio lengths, and comprehensive composition: https://
arxiv.org/abs/2402.04825 -
Revisiting Four-Year-Old Satire on Silly Models
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Was just revisiting this blog post from four years ago … https://
inverseprobability.com/2019/12/14/min
istry-of-silly-models
… It was written as a spoof … but has become more prescient than I expected. The Ministry of Silly Models -
AI Decodes Full Passages from Herculaneum Scrolls
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Researchers reveal first full passages decoded using #AI from famously inscrutable Herculaneum scrolls
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MLflow Ambassador Program Launch for Community Engagement
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Introducing the @MLflow Ambassador Program! Ambassadors will get to engage the community and showcase their domain expertise through technical content, Meetups and more — apply here: https://
bit.ly/3Ovg2RH -
FDA for AI: From Metaphor to Concrete Regulatory Framework
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The idea that we need an "FDA for AI" is frequently invoked as a metaphorical placeholder in convos on AI regs. But what does/could this mean? & what are the limits & possibilities of such an approach? Grateful to AI Now for moving the convo from analogy to concrete analysis!
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Auto Differentiation: Powerful Tool for ML Model Training
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Auto Differentiation This is really powerful to automate the calculation of derivatives especially when differentiating complex algorithms and mathematical functions. It is highly useful in training machine learning models and can be done with 'jax.grad()'
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Multiple Agents Framework Advances Machine Learning Capabilities
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More Agents Is All You Need Li et al.: https://
arxiv.org/abs/2402.05120 #ArtificialIntelligence #DeepLearning #MachineLearning -
MGIE: Apple’s Text-to-Image Editing Model
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[#Article] MGIE, Apple's image editing model from text prompts https://actuia.com/actualite/mgie-le-modele-dedition-dimages-a-partir-dinvites-textuelles-dapple/
… #AI #artificialintelligence
