That's a wrap! Every day, I share tutorials around Python, Data Science & Machine Learning. You can follow me → @Sumanth_077 Like/RT the first tweet to help this reach more people!
MACHINE LEARNING
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XLA and Automatic Parallelization in JAX for Computation Speed
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XLA & Automatic Parallelization It also supports XLA or Accelerated Linear Algebra, which is an optimizing compiler, designed specifically to increase the computation speed. And also supports Parallelization and can be done using "pmap()" https://
jax.readthedocs.io/en/latest/note
books/quickstart.html
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Automatic Vectorization with JAX vmap Function for Faster Code Execution
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Automatic Vectorization Vectorization helps faster code execution and Jax has an inbuilt function to do the same And can be done with using "vmap()" function Here are the detailed use cases and implementation of Vectorization. http://
jax.readthedocs.io/en/latest/_aut
osummary/jax.vmap.html#jax.vmap
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Auto Differentiation: Powerful Tool for ML Model Training
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Auto Differentiation This is really powerful to automate the calculation of derivatives especially when differentiating complex algorithms and mathematical functions. It is highly useful in training machine learning models and can be done with 'jax.grad()'
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Jax: High Performance Machine Learning Library Faster Than Numpy
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Jax is a Python library for High Performance Machine Learning and is really faster than Numpy Here is everything you need to know about Jax and its powerful features for Machine Learning: Thread
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Multimodal Context and Ultra Model Usage in Conversations
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If a prompt/response in the convo contains images does it use the old model for all subsequent prompts (since context is implicitly multimodal) or is each prompt considered in isolation? Is there any way to check if you’re actually using Ultra?
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DataRobot: Unified AI Model Governance Across All Platforms
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Where do you build and host your models?
— DataRobot (@DataRobot) 9 février 2024
DataRobot provides a single system of record to govern all of your AI models, no matter where or how it was built.
Try today: https://t.co/TFxYvZvRxR pic.twitter.com/GlXfIXcYC1Where do you build and host your models? DataRobot provides a single system of record to govern all of your AI models, no matter where or how it was built. Try today: https://
bit.ly/3RFBC8t -
Multiple Agents Framework Advances Machine Learning Capabilities
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More Agents Is All You Need Li et al.: https://
arxiv.org/abs/2402.05120 #ArtificialIntelligence #DeepLearning #MachineLearning -
AutoTrain Now Supports Token Classification Task
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NEW TASK ALERT Token Classification is now available in AutoTrain
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AI and ML Transform Transport Networks for Seamless Efficiency
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Master the invisible! How can you transform transport networks ?
See http://
bit.ly/3w1tXbF Seamless, efficient, invisible – and bringing the power of #AI and #ML to simplify tasks, optimize performance & enhance user #experience – this & more is the promise of