AWS Machine Learning Blog

JUNE 13, 2023

LMI DLCs are a complete end-to-end solution for hosting LLMs like Falcon-40B. You can monitor the status of the endpoint by calling DescribeEndpoint , which will tell you when everything is complete. His expertise lies in Deep Learning in the domains of Natural Language Processing (NLP) and Computer Vision.

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AWS Machine Learning Blog

MAY 4, 2023

For ultra-large models that don’t fit into a single accelerator, data flows directly between accelerators with NeuronLink, bypassing the CPU completely. These endpoints are fully managed and support auto scaling. xlarge" ) Refer to Developer Flows for more details on typical development flows of Inf2 on SageMaker with sample scripts.

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Generative AI Deep Learning Machine Learning Python 91

AWS Machine Learning Blog

OCTOBER 8, 2024

In this blog post, we explore a comprehensive approach to time series forecasting using the Amazon SageMaker AutoMLV2 Software Development Kit (SDK). In the training phase, CSV data is uploaded to Amazon S3, followed by the creation of an AutoML job, model creation, and checking for job completion.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

You can also edit the auto scaling policy on the Auto-scaling tab on this page. You can see the network, security, and compute information for this endpoint on the Settings tab. Deploy a SageMaker JumpStart LLM To deploy a SageMaker JumpStart LLM, complete the following steps: Navigate to the JumpStart page in SageMaker Studio.

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ML Auto-complete Python LLM 127

Google Research AI blog

JANUARY 18, 2023

I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. Let’s get started!

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Computer Vision Auto-classification Large Language Models Neural Network 132

AWS Machine Learning Blog

APRIL 17, 2023

SageMaker LMI containers includes model download optimization by using the s5cmd library to speed up the model download time and container startup times, and eventually speed up auto scaling on SageMaker. A complete example that illustrates the no-code option can be found in the following notebook.

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Prompt Engineer Prompt Engineering Deep Learning Large Language Models 96

AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. The complete example is shown in the accompanying notebook. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion.

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AWS Machine Learning Blog

OCTOBER 18, 2023

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. Start the model version when training is complete.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Because FM outputs could range from a single sentence to multiple paragraphs, the time it takes to complete the inference request varies significantly, leading to unpredictable spikes in latency if the requests are routed randomly between instances. In this post, we show you the new capabilities of IC-based SageMaker endpoints.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

As a result, an initial invocation to a model might see higher inference latency than the subsequent inferences, which are completed with low latency. To take advantage of automated model scaling in SageMaker, make sure you have instance auto scaling set up to provision additional instance capacity.

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ML Auto-complete Deep Learning Software Engineer 118

AWS Machine Learning Blog

JULY 23, 2024

is an auto-regressive language model that uses an optimized transformer architecture. You can now use state-of-the-art model architectures, such as language models, computer vision models, and more, without having to build them from scratch. 405B-Instruct You can use Llama models for text completion for any piece of text.

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Flipboard

APRIL 13, 2023

Prime Air (our drones) and the computer vision technology in Amazon Go (our physical retail experience that lets consumers select items off a shelf and leave the store without having to formally check out) use deep learning. This is a giant leap forward in developer productivity, and we believe this is only the beginning.

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