That's it. Every day, I share tutorials and simplify complex topics around Python, Machine Learning & Language Models. Follow me → @Sumanth_077 to ensure you don't miss that. Like/RT the first tweet to support my work and help this reach more people.
EDUCATION
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LLaMA omits GPT’s results from MMLU test chart due to size.
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This was the Massive Multitask Language Understanding test (Humanities, STEM, Social Sciences, etc) When finetuned for the test, LLaMA omitted GPT's superior results from the chart because it is not of "moderate size"
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Deep Learning Interview Questions: Comprehensive AI Job Guide
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Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI Shlomo Kashani, Amir Ivry : https://
arxiv.org/abs/2201.00650 #ArtificialIntelligence #DeepLearning #MachineLearning -
DataRobot University Launches Time Series Labs for Data Science
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Interested in expanding your #datascience knowledge? DataRobot University provides on-demand courses and labs that empower you to do so! Our newest, hands-on, time series labs feature data prep and segmented modeling. Check it out! https://
bit.ly/3KznMku -
Intelligent AI Tools Accelerate Digital Learning Creation
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[QUESTIONNER]
Et la formation #digitale devint intelligente par @RaphaelChenol https://
buff.ly/41rxUSq Les nouveaux outils d’#IA permettent d'accélérer la création des #formation digitales et les rendre plus efficaces #futureofwork #TransfoNum #FlashTweet -
Databricks Academy: Unified Training and Certification Platform
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All your training and certification needs. All in one place Whether you’re a customer, prospect, or partner – we have the right training for you. Learn how to get started with #DatabricksAcademy
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Language Models for Real-World Applications at Future of Data AI
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Leverage the power of language models to build real-world applications with @hemanham at the Future of Data & AI virtual conference organized by @DataScienceDojo 2 Mar, Thur
3pm PST/6pm EST Sign up now! -
Samples in Machine Learning: Labeled and Unlabeled Data
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Samples (also known as "examples" or "instances") A sample is a particular instance of data. It could be "labeled" (when it specifies the target) or "unlabeled" (when it doesn't.)
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Understanding Features in Machine Learning Prediction Models
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Features (also referred to as "x" or "variables") These are the input variables to our problem. We use these features to predict the target. For example: • pixels of a picture
• number of bedrooms of a house
• square footage of a house