Our Co-founder & Co-CEO @origoshen kicking off @awscloud #reInvent2022 with an exciting announcement: you can now deploy our LLM Jurassic-1 on your private SageMaker environment!
AI
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Ampt Team Presents at Reinvent Conference 2026
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wow… so surreal seeing this on someone else’s slides! congrats to the @amptdev team presenting at #reinvent this year!
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AI-Assisted Data Science Platform with Neural Architecture Search and MLOps
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AI-assisted Data Science – Neural architecture search for custom model dev
– Code generation models help with data transformation
– End to End MLOps platform for production-ready ML and data-science The first of its kind in the world – @abacusai -
CIOs Navigate Shifting Business Environment with New Skills
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CIOs and other tech leaders will need to draw on different skills as they manage their way through a challenging, radically different business environment #CIO #economy
@Gartner_inc
@salesforce
@USTglobal
@weschan
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Groq and Maxeler Enable Dataflow Engines for Quantum Computer Simulation
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@MaxelerTech and @GroqInc enable dataflow engines to simulate quantum computers. Hear the details in a recent EE380 @Stanford lecture by Peter Rakyta of the Department of Physics of Complex Systems, Eötvös Loránd University. https://
youtube.com/watch?v=jklv4k
uOIOg&list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu&index=1
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Automating supervisor outreach raises ethical concerns
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If someone's using a shell script to contact potential supervisors, I think they're doing something wrong…
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Cerebras Sparse ML Techniques Preserve GPT Model Accuracy
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At Cerebras, we are creating sparse ML techniques paired with our CS-2 hardware. Our initial work has shown that high degrees of sparsity can be induced into large-scale GPT models while still preserving model accuracy Learn more here: https://
tinyurl.com/yc22pbbz #Neurisp2022 #ai -
Tim Cook and Apple Ownership Concerns Regarding CCP Influence
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As a reminder @tim_cook is owned by the CCP.
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H2O World Dallas Customer Talks Insights and Learnings
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Our Vice President of Product, @VinodIyengar shared some of his notes and learnings from the customer talks at H2O World Dallas: https://
h2o.ai/blog/h2o-world
-dallas-customer-talks/?utm_medium=Organic-Social&utm_source=twitter&utm_campaig=blog
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Detecting Out-of-Distribution Data: Impossibility and Learnability Theorems
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Outstanding paper at #NeurIPS22 main idea: is it possible to figure out when test data is coming from classes unknown during training? First they prove an impossibility theorem, then give positive/constructive results to characterize learnability of OOD. https://
openreview.net/pdf?id=sde_7Zz
GXOE
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