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Host the Whisper Model on Amazon SageMaker: exploring inference options

AWS Machine Learning Blog

When saving model artifacts in the local repository, the first step is to save the model’s learnable parameters, such as model weights and biases of each layer in the neural network, as a ‘pt’ file. The tokenizer and preprocessor also need to be saved separately to ensure the Hugging Face model works properly.

Python 104
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The Gyan of GAN

Mlearning.ai

The general Neural Networks can easily misclassify things by adding even a tiny amount of noise into the original data. While the separation boundaries between classes may appear linear, they are made up of linearities, and even a small alteration to a feature point can result in misclassification.

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

In this blog post, we will explore techniques and strategies that leverage the latest advancements in the field to address the challenges of image segmentation with limited training data. This is achieved through the use of contrastive learning. This modular approach allows the exchange or fine-tuning of all three models separately.

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What AI Music Generators Can Do (And How They Do It)

AssemblyAI

In August – Meta released a tool for AI-generated audio named AudioCraft and open-sourced all of its underlying models, including MusicGen. Here are the main takeaways: MuLan generates embeddings for the text prompt and a spectrogram of the target audio. ” But how do these new models for music generation work?

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What happened in 2023

Bugra Akyildiz

Originally developed for language, it has proven useful in domains as varied as computer vision , audio , genomics , protein folding , and more. Details: [link] Audiobox Our new foundation research model for audio generation. Libraries AudioSep , a foundation model for open-domain sound separation with natural language queries.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. The neural network perceives an image, and generates a sequence of tokens for each object, which correspond to bounding boxes and class labels.

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Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

ML Review

Similar to the advancements seen in Computer Vision, NLP as a field has seen a comparable influx and adoption of deep learning techniques, especially with the development of techniques such as Word Embeddings [6] and Recurrent Neural Networks (RNNs) [7]. A sample group which outperforms the general population on average. [15]