Join us virtually on April 12 for our 4th GroqDay – Running on Groq: From Development to Production. Save your seat at http://
groq.link/groqday4 #groqday #ai #ml #developers
MACHINE LEARNING
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GroqDay 4: Virtual Event on AI Development and Production
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RWKV: RNN-based LLM combining RNNs and Transformers capabilities
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RWVK: an #RNN-based LLM Feels like the MLP-Mixer moment for LLMs, combining the best of RNNs (longer sequences) and #Transformers (parallelization). The Raven chatbot is impressive and on par with recent models like GPT4All. https://
github.com/BlinkDL/RWKV-LM -
FOOL: Novel Optimization Method Impacting AGI Research Progress
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Introducing Fictitious Optimization & Obfuscation Learning. FOOL is a cutting-edge method based on the latest in artificial stupidity & irrational reasoning. Its key advance is to randomly change the direction of gradients during optimization. It may also slow down AGI research.
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Neural Networks Have Significantly Evolved Since 1980
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Le problème c’est que nous sommes en 2023, pas en 1980 Les réseaux de neurones ont légèrement changé https://
x.com/JCPEREZCODEX/s
/JCPEREZCODEX/status/1640263915077525505
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Commonwealth Bank Partners with H2O to Train Kaggle Grand Masters
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@CommBank is laying the groundwork to train its own #KaggleGrandMasters in partnership with @h2oai
. The bank is building internal capability to help #Australia be a leading nation in #AI. Here's to #CBA's future #Kagglers! #ML #H2OWorldSydney -
Google Scales Vision Transformers to 22 Billion Parameters
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Learn about ViT-22B, the result of our latest work on scaling vision transformers to create the largest dense vision model. With improvements to both the stability and efficiency of training, ViT-22B advances the state of the art on many vision tasks → https://t.co/sQMgCGIOf4 pic.twitter.com/SRjEulBuJm
— Google AI (@GoogleAI) 31 mars 2023Learn about ViT-22B, the result of our latest work on scaling vision transformers to create the largest dense vision model. With improvements to both the stability and efficiency of training, ViT-22B advances the state of the art on many vision tasks → https://
ai.googleblog.com/2023/03/scalin
g-vision-transformers-to-22.html
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Cornell CS5785 Applied Machine Learning Course with Jupyter Notebooks
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Applied Machine Learning (Cornell CS5785) "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". Lectures: https://
youtube.com/playlist?list=
PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
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Notebooks: https://
github.com/kuleshov/corne
ll-cs5785-2020-applied-ml
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Microsoft Build 2023: Cloud, AI, and Developer Tools Conference
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Microsoft Build–Join us May 23–25, 2023 Advance your knowledge and skills with deep interactive sessions focused on cloud and AI, .NET, data and analytics, dev tools, DevSecOps and SRE, low-code, and more. https://
bit.ly/3FUlVDB -
Databricks Machine Learning Associate Certification Assessment
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Test your knowledge of Databricks #MachineLearning, ML Workflows & more with our Machine Learning Associate certification! It'll assess your ability to make decisions in #ML workflows & how to implement those workflows with Spark ML
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PhD ML Market Evolution: From Leaders to Specialized Contributors
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It'll take time, but I think it's possible. Currently, everyone finishing a PhD in ML is expected to be a "leader." But as demand for people with expertise in ML grows, there will be more space for "followers." So there will be incentives for being 3rd author on a bunch of papers