Should they extend an invitation to me, it would unquestionably generate an overwhelming buzz across the world ! #TLMEP #ArtificalIntelligence #MontrealAI #QuebecAI
INNOVATION
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Tech Companies Downsize Office Space Amid Remote Work Shift
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Silicon Valley furniture hustlers are "capitalizing on a wave of tech companies that are drastically shrinking their physical footprints in the wake of the pandemic-induced shift to remote work and the recent economic slowdown," @eringriffith reports: https://
nytimes.com/2023/02/25/tec
hnology/office-furniture-tech-companies.html?smid=tw-share
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Embracing Innovation in Engineering and Technology
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How to Embrace Innovation https://
mckinsey.com/featured-insig
hts/mckinsey-guide-to-managing-yourself/how-to-embrace-innovation
… @ASMEdotorg @3DSNorthAmerica @cyngn @MargaretSiegien @3DSdelmia @3DStherese @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Science #Engineering #Technology #SET -
Fast Personalization Encoder for Text-to-Image Models
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Designing an Encoder for Fast Personalization of Text-to-Image Models Gal et al.: https://
arxiv.org/abs/2302.12228 #ArtificialIntelligence #DeepLearning #MachineLearning -
Training from Scratch Pricing Table for Language Models
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Here's a screenshot of our training-from-scratch pricing table that is on the webpage posted in the previous thread. We can also train to non-Chinchilla – do you have more information about the dataset?
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UK Students Challenge: Join McLaren Datathon Round 1 March 6
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UK-based students, are you up for a challenge? Start your engines and sign up for Round 1 of our virtual McLaren Datathon on March 6. Do you think you have what it takes? Reserve your spot: http://
ow.ly/g2mB50N2MWg -
Avoiding Data Fallacies: Strategies for Successful Data Science
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Stop making assumptions about data and unlock its full potential! Avoid common #DataFallacies and use the right strategies for successful #DataScience projects. By @ingliguori #AI #BigData #CloudComputing #Fintech #Python #Cybersecurity #100DaysOfCode #JavaScript #IoT #innovation
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Production Performance vs Academic Benchmarks Eval Correlation
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What production performance are you referring to then? Or are you referring to academic benchmarks being bad in general? Because you would always need some eval benchmark ideally correlated to the prod use case.
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Validating Tech Solutions Through Lived Experience and Expertise
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"The surest cure for BS is exposing it to the scrutiny of people who truly, deeply understand a problem through years of lived experience." +100! Plus "the problem" isn't crypto or #ai but what those techs are trying to solve in that use case. Thx @EthanZ for a def recommend read
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AI Code Generation: Beyond Syntax Errors to Production Quality
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Rec'd read: "AI may turn out to be bttr at producing code than writing academic papers, as determining whether a program runs w/o syntax errors is far less subjective" https://
bit.ly/41vgF2C Beyond syntax: Is it prod-ready code fitting the use case? Was the generation legal? 1/2