Stay on top of AI with these 27 #AI tools: https://
linkedin.com/posts/ruben-ha
ssid_artificialintelligence-ai-technology-activity-7057333561044914176-k4X9
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#artificalintelligence #DataScience #DataScientists #MachineLearning #DeepLearning #NLProc #ComputerVision #ChatGPT
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Stay Updated with 27 Essential AI Tools and Technologies
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14 Different Types of Learning in Machine Learning
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14 Different Types of Learning in Machine Learning: https://
machinelearningmastery.com/types-of-learn
ing-in-machine-learning/
… by @TeachTheMachine =====
#BigData #DataScience #Statistics #ML #MachineLearning #DeepLearning #Mathematics #Python #Coding #DataScientists #100DaysOfCode -
Calculate Precision, Recall, F1 for Deep Learning Models
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How to Calculate Precision, Recall, F1 and more for #DeepLearning Models: https://
machinelearningmastery.com/how-to-calcula
te-precision-recall-f1-and-more-for-deep-learning-models/
… by @TeachTheMachine =====
#BigData #DataScience #Statistics #ML #MachineLearning #Mathematics #Python #Coding #DataScientists #100DaysOfCode -
Cohere Embedding Archives Community Initiative for AI Builders
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5/ Got questions or want to share something cool you built with this? Drop by the Embedding Archives: Wikipedia thread on the Cohere Discord . We can't wait to see what you create!
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Start Building with Cohere: Free AI Platform Access
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6/ Ready to start building? Sign up for a free Cohere account today. Happy coding! https://
dashboard.cohere.ai/welcome/regist
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94 Million Embedded Passages Across 10 Languages
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4/ Languages included: English, German, French, Spanish, Italian, Japanese, Arabic, Chinese (Simplified), Korean, and Hindi. That's a total of 94 million embedded passages!
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Build AI Apps with 100M Wikipedia Embeddings
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1/ What could you build if your app had the entire knowledge of Wikipedia? This post by @JayAlammar & @Nils_Reimers shows you how to use 100 million embedding vectors that cover Wikipedia in 10 languages. Download them and start building today!
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LLMs Immortalize Documented Knowledge and Diminish Traditional Expertise
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i remember how fun the oreilly perl book was as a kid, to know the whole thing. our shared, slow-moving technical knowledge is becoming less important maybe. but LLMs make the parts we document well immortal. if the model knows, someone always will
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LLMs Poised to Revolutionize Old CLI Tools and Libraries
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a renaissance is coming for old CLI utils, plotting libraries, video rendering pipelines, big libraries with ugly APIs. LLMs are going to bring users to jupyter and matplotlib and cv2 and ffmpeg that have never seen a shell or written a line of python
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Key Components of End-to-End MLOps Platform Integration
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Here is a cheat sheet listing the key components of an end-to-end MLOps platform. The main advantage of a platform like @abacusai
: You can get most of these components out of the box in an integrated solution.