sorry! if there are lint/format/test/dependency issues we try to fix them ourselves in order to speed up the dev cycle, but it does have this unfortunate side effect
CODE
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Kor: Open-source extraction tool for structured data
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check out kor for all things extraction https://
github.com/eyurtsev/kor -
Fine-tuning Whisper with Common Voice 13 Guide
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Last but not the least! This guide also walks you through the process of fine-tuning a Whisper checkpoint with Common Voice 13!
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PEFT enables Whisper large fine-tuning on consumer GPUs efficiently
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For a full fine-tuning run, on a @GoogleColab T4 GPU, Whisper large model throws an OOM. Through PEFT, we are not just able to fine-tune the Whisper large checkpoint but also squeeze in a batch size of 24 in < 8GB VRAM on a consumer GPU
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PEFT Enables Sub-60MB Model Checkpoints for Portability
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It gets better, thanks to the magic of PEFT, the resultant checkpoints are less than 60MB in size! Thereby, making a strong case for model weights portability! Learn more about it here:
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5x Faster Whisper Fine-tuning with LoRA and PEFT
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After 70x faster Whisper, we present to you – 5x faster Whisper fine-tuning! Powered by LoRA and PEFT – Squeeze in 5x larger batch sizes, fit Whisper-large checkpoint < 8GB VRAM! Best part? With almost no degradation in WER! Check it out: https://
github.com/Vaibhavs10/fas
t-whisper-finetuning
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Integration and reliability testing of AI system components
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Yeah. We already have these parts working. Now we are integrating it all together and making sure it works reliably.
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Databricks Terraform Registry Modules Launch for Lakehouse
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ICYMI: We recently launched the experimental #Terraform Registry modules for Databricks, a set of 30+ reusable Terraform modules and examples to provision your #Lakehouse! See how you can easily get started using and contributing to this project
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New KerasCV Image Classification Guide with State-of-the-Art Augmentation
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We have a new image classification guide for KerasCV — check it out! Featuring state-of-the-art image augmentation layers. https://
keras.io/guides/keras_c
v/classification_with_keras_cv/
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Python Tools for Scientists: Anaconda, JupyterLab, Scientific Libraries Guide
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#Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries => Get it at http://
amzn.to/3WrBmZf [700+ page book from @NoStarch Press]
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#Coding #BigData #DataScience #DataScientists #ComputationalScience #MachineLearning #AI