There are few things as frustrating as outdated api docs or code examples.
COMPUTING
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MATLAB Vectorization: Write Cleaner, Faster Code
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Switch to vectorization in @MATLAB for shorter, more readable code that packs a performance punch. Dive in http://
spr.ly/6015b3qI5 -
Scaling Instances in Parallel: Infrastructure vs Engineering Tradeoffs
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Can you run more instances in parallel? Probably cheaper to pay for 5x the servers than to engineer a new solution Might also be worth trying out Playwright, it's effectively Puppeteer 2.0 at this point
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ARM-UAI Collaboration Enables Custom Automotive AI Hardware Solutions
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"Automotive customers are trying to differentiate their #hw and make it better than an off-the-shelf system from #Qualcomm or #Nvidia." @beach66 The #UAI+
@Arm collab will provide the scalable CPU architecture, w/ the option for multiple AI accelerators, needed for this to work. -
Compute Optimal Inference Setups Explained
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well, it's compute optimal for some inference setups, I think that's the idea; it's not optimal for training though
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Rewriting Scipy Fortran LBFGS Wrapper for Better Usability
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Guilty as charged, somebody should rewrite the Fortran lbfgs wrapper from scipy to make it more idiot proof at some point
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LLaMA 3 70B Outperforms Claude 3 Sonnet Cost-Effectively
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Holy shit. LLaMA 3 70B cleanly beats Claude 3 Sonnet. Small enough to host at scale without breaking the bank.
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HPE Partners with Customers for AI Sustainability
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Earth Day 2024: HPE partnering with customers to achieve sustainability in the AI age https://
hpe.com/us/en/newsroom
/blog-post/2024/04/earth-day-2024-hpe-partnering-with-customers-to-achieve-sustainability-in-the-ai-age.html?utm_source=dlvr.it&utm_medium=twitter
… #HPE #HPEDiscover #HPEinfluencer