AWS Machine Learning Blog

APRIL 5, 2024

Once the bulk analysis job completes, you can identify and view the moderation label predictions, such as Explicit, Non-Explicit Nudity of Intimate parts and Kissing, Violence, Drugs & Tobacco, and more. Enter a job name and specify the images to analyze, either by entering an S3 bucket location or by uploading images from your computer.

Computer Vision 105

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AWS Machine Learning Blog

DECEMBER 14, 2023

This can be done with the Comprehend Semi-Structured Documents Annotation Tool , which creates an Amazon SageMaker Ground Truth job with a custom template, allowing annotators to draw bounding boxes around the entities directly on the PDF documents. In the following sections, we walk through the steps to implement the solution.

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AWS Machine Learning Blog

MARCH 27, 2024

We discuss how to prepare your data for the model fine-tuning task and how to create a model customization job in Amazon Bedrock. Ron the dog Smila the cat Evaluating model capabilities before fine-tuning a job Foundation models are trained on large amounts of data, so it is possible that your model will work well enough out of the box.

Prompt Engineer 86

Prompt Engineer Prompt Engineering Data Scientist Machine Learning 86

Ofemwire

JANUARY 2, 2024

Finding a job on LinkedIn can be tough because of tricky ChatGPT prompts. We’ve spent a lot of time in the LinkedIn and job-searching world. Say goodbye to confusion and hello to a more successful job search. Find the perfect job, like magic: Tired of endless searching? We’ve got your back. Ace that interview!

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Towards AI

MARCH 14, 2024

Learn AI Together Community section! Keep an eye on this section, too — we share cool opportunities every week! RAG-based Job Search Assistant by Kyosuke Morita Despite LLMs’ powerful performance, one of their shortcomings is that their knowledge is limited to the data they have learned in training. Meme of the week!

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AWS Machine Learning Blog

MAY 10, 2023

However, there are scenarios in which data scientists may prefer to transition from interactive development on notebooks to batch jobs. SageMaker provides an open-source extension that can be installed on any JupyterLab environment and be used to run notebooks as ephemeral jobs and on a schedule.

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Data Scientist Python Software Development Machine Learning 74

AWS Machine Learning Blog

DECEMBER 22, 2023

In the following sections, we summarize the new features and discuss how you can use the library to accelerate your large model training. model = tsm.transform(model) To learn more about using tensor parallelism in SMP, refer to the tensor parallelism section of our documentation. release of the SageMaker model parallel library.

Deep Learning 98

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Towards AI

FEBRUARY 15, 2024

They dive into Avery’s secret formula for landing your first data job in 90 days and how to harness AI for learning and growth in the data analytics realm! According to him, the key to standing out in the job market is to showcase your ability to solve real-world problems with data. Learn AI Together Community section!

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AWS Machine Learning Blog

DECEMBER 1, 2023

Lastly, in order to streamline the data science process and avoid users having to jump from the console to Amazon SageMaker Studio, we added the ability to view Training Jobs and Endpoint details in the SageMaker Studio user interface (UI) and have enabled the ability to view all running instances across launched applications.

ML 96

ML Machine Learning DevOps Computer Vision 96

Unite.AI

SEPTEMBER 5, 2023

Note to Readers: In the prompts and examples provided, you'll notice sections enclosed in brackets, such as [Your Company's Product] or [Key Features]. Include statistics on job creation, such as [Number of Jobs Created], and include a quote from [CEO's Name].”

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Flipboard

JUNE 26, 2023

We use an AWS Glue job to transform the auto insurance and property insurance customer source data to create a merged dataset containing fields that are common to both datasets (identifiers) that a human expert (data steward) would use to determine semantic matches. Run the AWS Glue ML transform job.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Prerequisites The following are prerequisites for completing the walkthrough in this post: An AWS account Familiarity with SageMaker concepts, such as an Estimator, training job, and HPO job Familiarity with the Amazon SageMaker Python SDK Python programming knowledge Implement the solution The full code is available in the GitHub repo.

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Algorithm Auto-complete ML Python 86

Marktechpost

DECEMBER 2, 2023

It offers an intuitive interface that lets users specify their jobs and desired RAG system parameters. Here are the three main sections of the app: Instructing the “builder agent” to construct a RAG pipeline is done on the home page. The role of RAGs is to be seen here.

Large Language Models 90

Large Language Models NLP Artificial Intelligence Artificial Intelligence 90

AWS Machine Learning Blog

APRIL 9, 2024

In the following sections, we explain how you can use these features with either the AWS Management Console or SDK. To do so on the console, complete the following steps: Repeat the steps in the previous section to start testing your knowledge base. In the following sections, we explain how you can use these features with the SDK.

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Machine Learning Prompt Engineer Prompt Engineering Artificial Intelligence 114

AWS Machine Learning Blog

AUGUST 30, 2023

Overview of solution In this section, we discuss the key components of our solution: choosing the strategy for the task, fine-tuning an LLM, and evaluating the results. The elapsed time of the SageMaker training job with fine-tuning was 38,468 seconds (approximately 11 hours). The following diagram illustrates the model workflow.

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Pickl AI

MARCH 30, 2023

A resume plays a significant role in highlighting your profile for a particular job role. million new job roles creation by 2026, opportunities are huge. You resume should be crafted in a way that it instantly highlights your profile to be a perfect fit for the job. How important is a Well-crafted Data Scientist Resume?

Data Scientist 52

Data Scientist Data Science Python AI 52

AWS Machine Learning Blog

SEPTEMBER 13, 2023

To analyze your data, complete the following steps: On the Amazon Comprehend console, choose Analysis jobs in the navigation pane. Choose Create analysis job. Enter a name for your job. Choose Create job. The job will run and the status will be displayed on the Analysis jobs page. Choose Create an IAM role.

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NLP Natural Language Processing ML Machine Learning 100

Unite.AI

OCTOBER 11, 2023

The end results could include a link to the pertinent section of a document, but ultimately remained a somewhat basic list of related documents. For market researchers and data insights professionals especially, generative AI will not replace jobs. AI-Powered Knowledge Management 3.0:

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AWS Machine Learning Blog

OCTOBER 9, 2023

The ratings.csv file as shown in the last step in the previous section includes movies rated from 1–5. Creating a SageMaker Data Wrangler job starts a SageMaker Processing job to export your flow. Create a job to process the data flow and store the data in the destination (S3 bucket) that we configured in the previous step.

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AWS Machine Learning Blog

MAY 10, 2023

Integrated with SageMaker training jobs and domains, it provides SageMaker domain users access to the TensorBoard data and helps domain users perform model debugging tasks using the SageMaker TensorBoard visualization plugins. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job. session.Session().region_name

Data Scientist 73

Data Scientist Deep Learning ML Python 73

Marktechpost

JANUARY 30, 2024

Unitxt comes with a catalog full of pre-defined recipes for different jobs to promote reuse. Users can experiment with many recipes, jobs, datasets, and additional formatting options by mixing and matching ingredients, allowing Unitxt to handle over 100,000 recipe configurations.

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AI Researcher AI Research Natural Language Processing LLM 102

IBM Journey to AI blog

MAY 23, 2023

IBM Cloud Code Engine is a fully managed, serverless platform that runs your containerized workloads, including web apps, microservices, event-driven functions or batch jobs. Here, you need to click on the blue button named Create under the section titled Custom domain mappings. A new setup wizard should open like the screenshot above.

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AWS Machine Learning Blog

MAY 31, 2023

This puts the onus on the data scientists to remember to specify these configurations, to successfully run their jobs, and avoid getting Access Denied errors. In addition, we create KMS keys for encrypting the volumes used in training and processing jobs. In this section, we explore an example.

Python 79

Python Auto-complete Machine Learning Data Scientist 79

Flipboard

MARCH 28, 2023

DreamDiary.com, Ingenio’s dream interpretations site, has a disclosure on its About Us section that its pages were “produced in part with the help of large AI language models.” However, Jaffe denied that AI will take people’s jobs: “I don’t think AI is going to take anyone’s job.

Chatbots 108

Chatbots Generative AI Large Language Models AI 108

Marktechpost

MARCH 11, 2024

Three practical domains, each addressing different facets of communication enhancement and content distribution, are used to formalize the backtracing job. A new task called backtracing has been presented, which is to find the section in a corpus that most likely prompted a user’s query.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

The training job is built using the SageMaker PyTorch estimator. In this section, we describe the major steps involved in data preparation and model training. The training jobs used an ml.p3dn.24xlarge 24xlarge instance and took an average of 30 minutes per job with that instance type.

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AWS Machine Learning Blog

JANUARY 17, 2023

The SageMaker training jobs are used to train the various NLP models, and SageMaker endpoints are used to deploy the models in each stage. As a result, we run the HPO process in the following section to further improve model performance. Solution overview. Fit a multimodal model with HPO.

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Dlabs.ai

JULY 25, 2023

But what exactly does this mean for you as a software vendor, employer, HR professional, or job seeker in NYC? Job candidate search and referral tools that recommend or re-rank candidates. Pymetrics : Uses neuroscience games and AI to match candidates’ cognitive and emotional traits to job requirements.

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Automation Algorithm Machine Learning Explainability 98

Pragnakalp

APRIL 10, 2023

In today’s competitive job market, sifting through countless resumes can be time-consuming and overwhelming. Resumes may contain different sections, such as personal details, work experience, education, skills, and more, but their placement and formatting can vary significantly. We will be adding more file formats in the future.

ChatGPT 52

ChatGPT Categorization NLP Automation 52

Unite.AI

SEPTEMBER 18, 2023

Let's look into these more closely in the following sections. Or what about the inevitable job displacement as AI takes on roles traditionally performed by humans? AI's predictive analytics can foresee and prevent these outages, saving both time and money. Ethical Questions The capabilities of AI raise important ethical considerations.

Automation 261

Automation Chatbots AI AI 261

Unite.AI

MAY 6, 2024

As I shared in the previous section, the Cloud plan gives you access to all the premium features, including robust security tools. But this is exclusive to paid users on their platform: KnowledgeBase You’ll love the vast resources in their ‘Knowledge base’ section. Who is it for? Price – $89.95/month Price – $149.95/month

Machine Learning 147

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Mlearning.ai

AUGUST 7, 2023

on the clusters to get the jobs and allocate GPUs, CPUs, and system memory to the submitted tasks by different users. The common practice of these resource management systems is that they consider the GPUs as dominant resource and allocate CPU and system memory (DRAM) proportional to the number of GPUs requested by the job.

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AI News

NOVEMBER 16, 2023

An example may be generating something as simple as a job description for a new employee or something more complex, such as creating a new business process or reengineering an existing one. These types of requests are often requested for consultants to perform.

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AWS Machine Learning Blog

MAY 2, 2024

Train a model After the dataset import job is complete, you can analyze data before training. In the Training configuration section, for Automatic training , select Turn on to maintain the effectiveness of your model by retraining it on a regular cadence. Create an interactions dataset using a schema.

Metadata 91

Metadata Software Engineer Large Language Models Machine Learning 91

AWS Machine Learning Blog

APRIL 22, 2024

They edit their own files, run their own jobs, and want to avoid impacting each other’s work. Create a VPC, subnets, and a security group Follow the instructions in the Own Account section of the HyperPod workshop. In the Networking section, specify the VPC and two private subnets you created. Choose Next. Choose Next.

Software Engineer 86

Software Engineer Software Development Machine Learning ML 86

AWS Machine Learning Blog

APRIL 18, 2023

RallyPoint has identified the transition period to a civilian career as a major opportunity to improve the quality of life for this population by creating automated and compelling job recommendations. The most pertinent was the clickthrough rate on the top 10 recommended jobs on the RallyPoint website. This was stored in S3.

Machine Learning 72

Machine Learning ML Computer Vision Metadata 72

AWS Machine Learning Blog

APRIL 29, 2024

Setting up the Trainium cluster We used AWS ParallelCluster to build a High Performance Computing (HPC) compute environment that uses Trn1 compute nodes to run our distributed ML training job (see the GitHub tutorial ). In the following section, we describe how to set up the necessary infrastructure for Trn1 ParallelCluster.

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