In other cases, the truth is that there's more really great people than awards. So selections end up being arbitrary, superficial, political, or biased. Yet people only see the outcomes: awarded, or not awarded. This is where the harms creep in. 3/n
AI
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Complete Machine Learning Package Update: MLOps Comprehensive Guide Coming Soon
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The next update on Complete Machine Learning Package will be a comprehensive guide on MLOps! Stay tuned, turn on notifications, and follow @Jeande_d for more cool learning resources and papers in the meantime. https://
nyandwi.com/machine_learni
ng_complete/
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Weights & Biases: Essential MLOps Tool for Industry and Education
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MLOps is hard but one of the reasons it's considered hard is the maturity of tools. Weights & Biases is one of the best tools we have to day in MLOps. Currently used in industries(ex: Open AI) and select tool in teaching MLOps in universities. Thanks to the team for this course!
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MLOps Course: Building End-to-End ML Pipelines with Weights and Biases
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ML lifecycle is very challenging but having an effective system and right tools can easy the process a little bit. In the new MLOps course from Weights and Biases(
@wandb
), you will learn how to build end-to-end ML pipelines. https://
wandb.courses/courses/effect
ive-mlops-model-development
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New Free MLOps Course: End-to-End Model Development Pipeline
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New MLOps FREE Course – Effective MLOps: Model Development from Weights and Biases There are lots of things involved in putting models into production. In this new course, you'll learn machine learning lifecycle and how to design end-to-end pipelines. https://
wandb.courses/courses/effect
ive-mlops-model-development
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Printing Industry Lacks Innovation Incentives and Technology Adoption
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Think there's also not a ton of incentive to innovate at this point. Assume printing is getting less and less common, and the companies still printing a lot are the least likely to adopt new tech / already have relationships with their Xerox rep etc..
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Always Read Paper Appendices for Key Insights
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if a paper has appendices you should always read them. always 90% of the time, the interesting pieces you’re looking for are there
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What makes work hardest? Exploring difficult labor challenges
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what’s the hardest kind of work you know of?
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Cerebras Training Infrastructure for AI Model Scale
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In their recent publication, @MadronaVentures mentions, "Companies can use training infrastructure from Cerebras …to train those models at scale", while also listing Cerebras as a provider of AI-specialized silicon. Read their full analysis here: https://
madrona.com/foundation-mod
els/?utm_source=Foundation+Model+Share+Link
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MusicLM: Google’s AI Generates Music From Text and Audio
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MusicLM is wild. Very realistic and versatile, can condition on text, images, and other audio. Coolest feature: hum or whistle a melody, input some text (e.g. "string quartet") and it spits out a string quartet playing that melody! https://
google-research.github.io/seanet/musiclm
/examples/
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