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Tag: Hyperparameters

Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization | Amazon Web Services

Amazon Titan lmage Generator G1 is a cutting-edge text-to-image model, available via Amazon Bedrock, that is able to understand prompts describing multiple objects in...

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Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker | Amazon Web Services

In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. ...

Effective Code Documentation for Data Science Projects – DATAVERSITY

Code documentation is a detailed explanation of how the code works. It is a comprehensive guide that helps developers understand and use the code...

A Comprehensive Guide to MLOps: A KDnuggets Tech Brief – KDnuggets

A Comprehensive Guide to MLOps: A KDnuggets Tech Brief In recent years, the field of machine learning has witnessed tremendous growth and advancement. Organizations across...

How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services

This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com. As a global leader in...

Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning | Amazon Web Services

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model...

Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium | Amazon Web Services

Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker...

Supercharge Your AI with HuggingGPT

Introduction Artificial Intelligence (AI) has revolutionized various industries, enabling machines to perform complex tasks that were once considered exclusive to human intelligence. One of the...

Modernizing data science lifecycle management with AWS and Wipro | Amazon Web Services

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. ...

Using Lightning AI Studio For Free – KDnuggets

Image by Author  In this post, we will be learning about a new Cloud IDE that is both free and user-friendly. It is an...

What is MobileNetV2? Features, Architecture, Application and More

Introduction When it comes to image classification, the nimble models capable of efficiently processing images without compromising accuracy are essential. MobileNetV2 has emerged as a...

What is Adam Optimizer and How to Tune its Parameters in PyTorch

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and...

Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker | Amazon Web Services

Customers are faced with increasing security threats and vulnerabilities across infrastructure and application resources as their digital footprint has expanded and the business impact...

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