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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Automatic Vectorization with JAX vmap Function for Faster Code Execution
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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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AutoTrain Now Supports Token Classification Task
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NEW TASK ALERT Token Classification is now available in AutoTrain
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Adding Training Parameters to Model Cards Documentation
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Amazing! Can't wait to try it out! Do you think we should start adding the training parameters as practice on the model card, like number of iterations, etc.?
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Replicate Partners with Vercel for Easy AI API Integration
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We're partnering with @vercel to make it easy to run AI with an API. Happy hacking! https://
vercel.com/blog/ai-integr
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Create AI App in 30 Seconds with npm
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Create an AI app in 30 seconds.
— Replicate (@replicate) 8 février 2024
> npm create replicate pic.twitter.com/E1djxobYEOCreate an AI app in 30 seconds. > npm create replicate
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Vercel Integration: Knowledge API for Developers
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We’re excited to announce our integration with Vercel, becoming the knowledge API for every Vercel developer. We offer the fastest and most accurate online LLM APIs without any knowledge cut-off. We can't wait to see what developers will ship using our APIs on Vercel!
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Whisper API Actually Serves V2 Despite Whisper-1 Naming
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I actually took a closer look after our conversation, and our API is actually serving Whisper V2! It’s denoted `whisper-1` because it was the first API model. Thank you for flagging, it’s definitely confusing, we’ll address this!