I imagine this is more about simplicity at a small scale, which then gets baked in too deep to easily refactor layer on
AI
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Isolate Analytics Data From Core Application Databases
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This makes a ton of sense to me: keep less critical, high throughput data such as analytics in a separate database from your core application data such that any problems with the high throughput stuff are isolated from affecting your key tables
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Adaptive Optimizers Should Track True Squared Gradients
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Adaptive optimizers like Adam track the square of the gradient, but what they receive as the gradient is actually the sum of the gradients across the batch. It seems likely that better results at different hyper parameters could be obtained if backward passes emitted true grad^2.
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Detecting Non-Gaussian Distributions in Machine Learning Models
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The easiest way to see this is to fix the mean to be 0 and then observe that the returned value will never be negative. Thus it can't be Gaussian. Definitely not easy to spot.
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Stay small nimble more joy startup philosophy
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Been there, can relate so much. Stay small and nimble, more joy.
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Neural Operators and AI for Science Talk at MIT IAIFI
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It was great visiting @mit @iaifi_news and give a talk about neural operators and AI for science. You can find my talk here https://
youtu.be/RR5-mYQOb7E?t=
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Explosion AI hiring Infrastructure Engineer and Data Engineer roles
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We need at least one new Infrastructure Engineer to come work with us at @explosion_ai The role is fully remote, with some preference for European timezones. We also have a new data engineering position advertised! https://
x.com/rynchantress/s
/rynchantress/status/1587815225583099904
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NVIDIA Accelerates 5G Cloud Edge Transformation at RedHat
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Join NVIDIAs Justin Boitano at RedHat #Open5G2022 to learn about accelerated #5G, cloud, and #edge transformations. Register now: https://
nvda.ws/3Wjz8fL -
Essential Machine Learning Concepts: 130-Page Cheat Sheet
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READ: 130-page cheat sheet outlining key #MachineLearning concepts: https://
bit.ly/130pgMLsheet
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#ML #BigData #AI #DeepLearning #Algorithms -
LLMs Self-Improve: New State-of-the-Art Reasoning Capabilities
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We recently read ‘Large Language Models Can Self-Improve,’ which demonstrates how to improve the general reasoning ability of multi-billion parameter models and achieve state-of-the-art performance. Have you read it? Check it out and let us know your thoughts! #ML #AI #LLM