AI - AI Dynamics

Daily Python Data Science Machine Learning Tutorials Wrap

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17 February 2023 14h26

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 support my work and help this reach more people

XLA and Automatic Parallelization in JAX for Computation Speed

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17 February 2023 14h26

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

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17 February 2023 14h26

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: Automating Derivative Calculation with JAX

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17 February 2023 14h26

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()'

JAX NumPy: Performing NumPy Operations with JAX Library

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17 February 2023 14h26

You can perform almost all Numpy Operations with Jax. JAX provides 'jax.numpy' that helps you to perform Almost anything that can be done with 'numpy' Here is how you can use "jax.numpy"

JAX vs NumPy: GPU and TPU Support Comparison

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17 February 2023 14h26

We have Numpy which is the fundamental python library for scientific computing. Why do we need Jax or How it differs from Numpy Numpy is only compatible with the CPU. JAX provides an implementation of NumPy with both GPU and TPU support. https://
github.com/google/jax

Jax: A Faster Python Library for Machine Learning and Computing

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17 February 2023 14h26

"Jax" is a python library for numerical computing, machine learning and is really faster than Numpy Here is why you should care about Jax and its really powerful features in Machine Learning:

→ View original post on X — @actuiafr

Bank of France obtains GEEIS-IA Inclusive label

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@actuiafr

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17 February 2023 14h17

The @banquedefrance obtains the GEEIS-IA Inclusive label https://actuia.com/actualite/la-banque-de-france-obtient-le-label-geeis-ia-inclusive/
… #AI #artificialintelligence

→ View original post on X — @marcusborba

Detecting AI-Generated Text in Modern Digital Landscape

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@marcusborba

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17 February 2023 14h10

How to Spot #Robots in a World of #AI-Generated Text – The New York Times https://
nytimes.com/interactive/20
23/02/17/business/ai-text-detection.html
… @nytimes #MachineLearning #DataScience @BIScorecard @ahier @gvalan @avrohomg @anijov @CatherineAdenle #iot #BigData #Analytics @Shi4Tech @JAdP @Damien_CABADI @enilev @FmFrancoise