AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

His 2009 strike against Leverkusen at a speed of 125 km/h is one that is vividly remembered because the sheer velocity of Hitzlsperger’s free-kick was enough to leave Germany’s number one goalkeeper, René Adler, seemingly petrified. To achieve this, our process uses a synchronization algorithm that is trained on a labeled dataset.

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Data Science Dojo

JUNE 6, 2023

In 2009, Uber came along and revolutionized the entire taxi business. A common pitfall for businesses undergoing digital transformation is assuming that it is easy to migrate existing technology to a new platform or system (like the cloud or AWS). And it’s not just the flashy firms in Silicon Valley that are feeling the pinch.

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Dataconomy

JANUARY 24, 2024

Since its inception in 2009, KMS Technology has remained committed to delivering top-notch services in AI, data analytics, and software development. Their team of AI experts excels in creating algorithms for deep learning, predictive analytics, and automation.

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AWS Machine Learning Blog

JANUARY 30, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models , and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. The model is deployed in an AWS secure environment and under your VPC controls, helping ensure data security. Default is 5.

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AWS Machine Learning Blog

APRIL 18, 2023

To make things easy, these three inputs depend solely on the model name, version (for a list of the available models, see Built-in Algorithms with pre-trained Model Table ), and the type of instance you want to train on. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

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