AWS Machine Learning Blog

JULY 1, 2024

Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. You can use QnAIntent with new or existing Amazon Lex bots to automate FAQs through text and voice channels, such as Amazon Connect. Choose Create knowledge base. Choose Next.

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AWS Machine Learning Blog

APRIL 19, 2024

Create a solution To set up automatic training, complete the following steps: On the Amazon Personalize console, create a new solution. With Amazon Personalize, you can streamline your workflow and automate the deployment of the latest solution version to campaigns via automatic syncing. Specify a name for your campaign.

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Auto-complete Software Engineer ML Machine Learning 118

AWS Machine Learning Blog

JULY 25, 2024

By implementing features such as proactive health monitoring and automated recovery mechanisms, organizations can create a fault-tolerant environment capable of handling hardware failures or other issues without compromising the integrity of the training process. You can get these values from the Amazon EKS console. and public.ecr.aws.

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Auto-complete Software Development ML ML Engineer 111

Flipboard

JUNE 13, 2023

.” Generative AI is already changing the way software engineers do their jobs. GitHub Copilot, Amazon CodeWhisperer, ChatGPT, Tabnine, and various other AI coding tools are quickly gaining traction, helping developers automate mundane tasks and freeing them up to work on more challenging problems.

Generative AI 181

Generative AI Auto-complete Software Engineer AI 181

AWS Machine Learning Blog

MAY 9, 2023

In addition, you can now use Application Auto Scaling with provisioned concurrency to address inference traffic dynamically based on target metrics or a schedule. In this post, we discuss what provisioned concurrency and Application Auto Scaling are, how to use them, and some best practices and guidance for your inference workloads.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Amazon CodeWhisperer is a generative AI coding companion that speeds up software development by making suggestions based on the existing code and natural language comments, reducing the overall development effort and freeing up time for brainstorming, solving complex problems, and authoring differentiated code.

Software Development 119

Software Development Machine Learning Auto-complete ML 119

AWS Machine Learning Blog

JUNE 11, 2024

This feature streamlines the process of launching new instances with the most up-to-date Neuron SDK, enabling you to automate your deployment workflows and make sure you’re always using the latest optimizations. AWS Systems Manager Parameter Store support Neuron 2.18 neuronx-py310-sdk2.18.2-ubuntu20.04 COPY train.py /train.py

Deep Learning 117

Deep Learning ML Automation Auto-complete 117

AWS Machine Learning Blog

JUNE 13, 2023

In this post, we demonstrate how to deploy Falcon for applications like language understanding and automated writing assistance using large model inference deep learning containers on SageMaker. LMI DLCs are a complete end-to-end solution for hosting LLMs like Falcon-40B. code_falcon40b_deepspeed/model.py add_as_json(result) That’s it!

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AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code. This is a one-time setup.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Auto-resume and healing capabilities One of the new features with SageMaker HyperPod is the ability to have auto-resume on your jobs. SageMaker HyperPod addresses job resiliency by using automated health checks, node replacement, and job recovery. Choose Create a cluster. pretrain-model.sh

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AWS Machine Learning Blog

DECEMBER 4, 2023

The project was completed in a month and deployed to production after a week of testing. He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation. She has 12 years of software development and architecture experience. The model pipeline is run separately for each country.

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BERT Auto-complete Data Scientist Machine Learning 117

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). SageMaker AutoMLV2 is part of the SageMaker Autopilot suite, which automates the end-to-end machine learning workflow from data preparation to model deployment.

Machine Learning 92

Machine Learning Auto-complete Auto-classification Metadata 92

AWS Machine Learning Blog

AUGUST 4, 2023

With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. Make sure to disable sampling when importing the data.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. Following are the steps completed by using APIs to create and share a model package group across accounts. It can take up to 20 minutes for the setup to complete. sagemaker_client = boto3.client("sagemaker")

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ML Auto-complete Machine Learning Auto-classification 90

AWS Machine Learning Blog

JULY 31, 2023

A perfect F1 score of 1 indicates that the model has achieved both perfect precision and perfect recall, and a score of 0 indicates that the model’s predictions are completely wrong. Finally, when it’s complete, the pane will show a list of columns with its impact on the model. Indrajit is an AWS Enterprise Sr. Solutions Architect.

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Auto-classification Machine Learning Auto-complete ML 88

The MLOps Blog

JANUARY 23, 2023

Just so you know where I am coming from: I have a heavy software development background (15+ years in software). Came to ML from software. Founded two successful software services companies. We need both automated continuous monitoring AND periodic manual inspection. Some are my 3–4 year bets.

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DevOps Metadata Software Engineer Data Scientist 59

The MLOps Blog

FEBRUARY 27, 2023

You would address it in a completely different way, depending on what’s the problem. 2 The more interesting ones are the ones that don’t have the data science teams, or sometimes they don’t even have software developers in the way that they are companies that live in the 21st century. Sabine: Oh yes.

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Computer Vision Auto-classification Auto-complete ML 52

The MLOps Blog

JULY 18, 2023

It’s an automated chief of staff that automates conversational tasks. We are aiming to automate that functionality so that every worker in an organization can have access to that help, just like a CEO or someone else in the company would. Jason: Hi Sabine, how’s it going? Jason, you are the co-founder and CTO of Xembly.

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AWS Machine Learning Blog

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring. Start the model version when training is complete.

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Unite.AI

APRIL 18, 2024

From self-driving cars to language models that can engage in human-like conversations, AI is rapidly transforming various industries, and software development is no exception. This remarkable tool leverages state-of-the-art language models like GPT-4, streamlining the development cycle and enhancing developer productivity.

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Software Engineer Software Development LLM Auto-complete 261

IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. This can aid in maintaining code quality and performance over time.

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Unite.AI

MAY 28, 2024

Before MonsterAPI, he ran two startups, including one that developed a wearable safety device for women in India, in collaboration with the Government of India and IIT Delhi. Our Mission has always been “to help software developers fine-tune and deploy AI models faster and in the easiest manner possible.”

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AWS Machine Learning Blog

JANUARY 17, 2024

Llama 2 is an auto-regressive generative text language model that uses an optimized transformer architecture. Trainium and AWS Inferentia, enabled by the AWS Neuron software development kit (SDK), offer a high-performance, and cost effective option for training and inference of Llama 2 models. train_and_test_dataset["train"].to_json("train.jsonl")

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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 114

AWS Machine Learning Blog

JUNE 5, 2023

These powerful models, such as those based on the GPT and T5 architectures, have experienced an unprecedented surge in popularity for a broad set of applications, including language understanding, conversational experiences, and automated writing assistance. You can find our complete example notebook here.

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LLM Large Language Models Deep Learning Auto-complete 84

Flipboard

APRIL 13, 2023

For instance, a financial firm that needs to auto-generate a daily activity report for internal circulation using all the relevant transactions can customize the model with proprietary data, which will include past reports, so that the FM learns how these reports should read and what data was used to generate them.

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