Flipboard

JUNE 20, 2023

For reference, GPT-3, an earlier generation LLM has 175 billion parameters and requires months of non-stop training on a cluster of thousands of accelerated processors. The Carbontracker study estimates that training GPT-3 from scratch may emit up to 85 metric tons of CO2 equivalent, using clusters of specialized hardware accelerators.

AWS 94

AWS Machine Learning Machine Learning Deep Learning 94

IBM Journey to AI blog

APRIL 3, 2024

Data and AI are increasingly critical tools in how organizations are evolving their facilities management. Real-time insights infused with AI support dynamic space planning. In this blog post, we walk through the recommended options for running IBM TAS on Amazon Web Services (AWS).

AWS 73

AWS Clustering AI AI 73

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

AWS 116

AWS Cloud Computing Data Lakes Database 116

AWS Machine Learning Blog

FEBRUARY 2, 2024

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Because embeddings are an important source of data for NLP models in general and generative AI solutions in particular, we need a way to measure whether our embeddings are changing over time (drifting).

AWS 94

AWS Clustering ETL Database 94

AWS Machine Learning Blog

NOVEMBER 22, 2023

When AWS launched purpose-built accelerators with the first release of AWS Inferentia in 2020, the M5 team quickly began to utilize them to more efficiently deploy production workloads , saving both cost and reducing latency. We use AWS Batch automated retries to retry jobs that encounter a transient failure during model training.

AWS 95

AWS ML ML Deep Learning 95

AWS Machine Learning Blog

SEPTEMBER 8, 2023

We’ll cover how technologies such as Amazon Textract, AWS Lambda , Amazon Simple Storage Service (Amazon S3), and Amazon OpenSearch Service can be integrated into a workflow that seamlessly processes documents. The main concepts used are the AWS Cloud Development Kit (CDK) constructs, the actual CDK stacks and AWS Step Functions.

AWS 106

AWS Clustering ML ML 106

AWS Machine Learning Blog

FEBRUARY 13, 2024

Self-checkout process BigBasket introduced an AI-powered checkout system in their physical stores that uses cameras to distinguish items uniquely. The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores.

AWS 103

AWS AI AI ML 103

IBM Journey to AI blog

MARCH 27, 2024

As AI technology advances, the need for high-performance, cost-effective and easily deployable solutions reached unprecedented levels. Exciting new innovations such as advanced robotics, real-world gaming, neuronal interface technology and AI require three fundamental elements: High-performance solutions.

Clustering 105

Clustering Database SQL AWS 105

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

AWS 92

AWS ML ML AI 92

AWS Machine Learning Blog

AUGUST 8, 2023

You can run Spark applications interactively from Amazon SageMaker Studio by connecting SageMaker Studio notebooks and AWS Glue Interactive Sessions to run Spark jobs with a serverless cluster. With interactive sessions, you can choose Apache Spark or Ray to easily process large datasets, without worrying about cluster management.

AWS 67

AWS Clustering Machine Learning Machine Learning 67

AWS Machine Learning Blog

MARCH 30, 2023

Metadata of the match is processed within the AWS Lambda function MetaDataIngestion , while positional data is ingested using the AWS Fargate container called MatchLink. Additionally, the ball recovery times are sent to a specific topic in the MSK cluster, where they can be accessed by other Bundesliga Match Facts.

AWS 72

AWS Machine Learning Machine Learning Apache Kafka 72

AWS Machine Learning Blog

DECEMBER 22, 2023

As a result, machine learning practitioners must spend weeks of preparation to scale their LLM workloads to large clusters of GPUs. Integrating tensor parallelism to enable training on massive clusters This release of SMP also expands PyTorch FSDP’s capabilities to include tensor parallelism techniques.

Clustering 101

Clustering AWS Deep Learning Deep Learning 101

AWS Machine Learning Blog

APRIL 18, 2024

It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.

AWS 111

AWS Analytics Analytics AI 111

AWS Machine Learning Blog

APRIL 29, 2024

To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time.

AWS 99

AWS ML ML Python 99

AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. Pass the results of the SageMaker endpoint to Amazon Augmented AI (Amazon A2I).

AWS 86

AWS Data Pipeline ML ML 86

AWS Machine Learning Blog

JULY 6, 2023

A number of AWS independent software vendor (ISV) partners have already built integrations for users of their software as a service (SaaS) platforms to utilize SageMaker and its various features, including training, deployment, and the model registry. In some cases, an ISV may deploy their software in the customer AWS account.

ML 76

ML ML AWS Data Scientist 76

IBM Journey to AI blog

FEBRUARY 15, 2024

Autoscaling When traffic spikes, Kubernetes can automatically spin up new clusters to handle the additional workload. However, unlike VMs, Kubernetes orchestrates container interactions that transcend apps and clusters. This includes data in CI/CD pipelines (which feed into K8s clusters) and GitOps workflows (which power K8s clusters).

Clustering 75

Clustering Azure Data Visualization AWS 75

AWS Machine Learning Blog

MAY 25, 2023

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Amazon Lex provides the framework for building AI based chatbots. AWS Identity and Access Management roles and policies for access management.

AWS 77

AWS Clustering Python ML 77

Snorkel AI

SEPTEMBER 5, 2023

If you’re new to Kubernetes, read our Introduction to Kubernetes post to learn more about the basics, and our Machine learning on Kubernetes: wisdom learned at Snorkel AI post to learn more about our journey with Kubernetes thus far. the orchestrator for our Ray cluster). Let’s dive in!

ML 72

ML ML Clustering Machine Learning 72

IBM Data Science in Practice

DECEMBER 7, 2022

The same image can also be deployed on a cloud container service like AWS ECS or IBM Code Engine; or on a Kubernetes or OpenShift cluster. cp/ai/watson-nlp-runtime:1.0.18" ARG SENTIMENT_MODEL="cp.icr.io/cp/ai/watson-nlp_sentiment_aggregated-cnn-workflow_lang_en_stock:1.0.6" ARG WATSON_RUNTIME_BASE="cp.icr.io/cp/ai/watson-nlp-runtime:1.0.18"

Clustering 100

Clustering AI AI AWS 100

AWS Machine Learning Blog

NOVEMBER 3, 2023

To process match metadata, we use an AWS Lambda function called MetaDataIngestion , while positional data is brought in using an AWS Fargate container known as MatchLink. Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster. Luc Eluère is a Data Scientist within Sportec Solutions AG.

AWS 93

AWS Apache Kafka Data Scientist Algorithm 93

AWS Machine Learning Blog

MAY 3, 2023

AWS customer Vericast is a marketing solutions company that makes data-driven decisions to boost marketing ROIs for its clients. Dynamic scaling of feature engineering jobs – A combination of various AWS services is used for this, but most notably SageMaker Processing.

AWS 71

AWS Machine Learning Machine Learning ML 71

Snorkel AI

SEPTEMBER 5, 2023

If you’re new to Kubernetes, read our Introduction to Kubernetes post to learn more about the basics, and our Machine learning on Kubernetes: wisdom learned at Snorkel AI post to learn more about our journey with Kubernetes thus far. the orchestrator for our Ray cluster). Let’s dive in!

ML 59

ML ML Clustering Machine Learning 59

ODSC - Open Data Science

MARCH 27, 2023

Botnets Detection at Scale — Lesson Learned from Clustering Billions of Web Attacks into Botnets. Scaling AI/ML Workloads with Ray Kai Fricke | Senior Software Engineer | Anyscale Inc. You will use the same example to explore both approaches utilizing TensorFlow in a Colab notebook.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

AWS Machine Learning Blog

JANUARY 24, 2024

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. Despite their wealth of general knowledge, state-of-the-art LLMs only have access to the information they were trained on.

AWS 127

AWS Database AI AI 127

IBM Journey to AI blog

JANUARY 24, 2024

With the seismic shift wrought by generative AI, the pressure is on IT to modernize and optimize to meet the demand. With the help of AI-based insights, Turbonomic can help guide you through the consideration. Cloud service platforms abound promising greater elasticity and savings.

Clustering 68

Clustering Azure AWS AI 68

AWS Machine Learning Blog

JULY 3, 2023

PDF Translate – An open-source library written in Java and published on AWS Samples in GitHub. The source and translated PDF documents can also be found in the AWS Samples GitHub repo. Prerequisites Before you get started, set up your AWS account and the AWS Command Line Interface (AWS CLI).

AWS 70

AWS ML ML Clustering 70

Hacker News

NOVEMBER 15, 2023

To understand the latest advance in generative AI , imagine a courtroom. The court clerk of AI is a process called retrieval-augmented generation, or RAG for short. Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

Database 175

Database AI AI Natural Language Processing 175

AWS Machine Learning Blog

MAY 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Llama2 by Meta is an example of an LLM offered by AWS. To learn more about Llama 2 on AWS, refer to Llama 2 foundation models from Meta are now available in Amazon SageMaker JumpStart.

AWS 82

AWS ML ML Clustering 82

AWS Machine Learning Blog

MARCH 15, 2024

Therefore, ML creates challenges for AWS customers who need to ensure privacy and security across distributed entities without compromising patient outcomes. Solution overview We deploy FedML into multiple EKS clusters integrated with SageMaker for experiment tracking. As always, AWS welcomes your feedback.

AWS 108

AWS ML ML Machine Learning 108

AWS Machine Learning Blog

MAY 10, 2023

The SageMaker extension expects the JupyterLab environment to have valid AWS credentials and permissions to schedule notebook jobs. We discuss the steps for setting up credentials and AWS Identity and Access Management (IAM) permissions later in this post. See Installing or updating the latest version of the AWS CLI for instructions.

AWS 74

AWS Data Scientist ML ML 74

AWS Machine Learning Blog

NOVEMBER 30, 2023

Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast amounts of data. Customers such as Stability AI use SageMaker HyperPod to train their foundation models, including Stable Diffusion. “As

Clustering 113

Clustering AWS Machine Learning Machine Learning 113

AWS Machine Learning Blog

JULY 11, 2023

You can set up private package repositories on AWS in multiple ways: Using AWS CodeArtifact Using Amazon Simple Storage (Amazon S3) Hosting a repository on Amazon Elastic Compute Cloud (Amazon EC2) In this post, we focus on the first option: using CodeArtifact. For more information, refer to Configure the AWS CLI.

AWS 57

AWS Python ML ML 57

ODSC - Open Data Science

FEBRUARY 21, 2024

Co-located with the leading Data Science and AI Training Conference, ODSC East, this summit will gather the leading minds in Data Engineering in Boston on April 23rd and 24th. NET, and AWS. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Interested in attending an ODSC event?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

AWS Machine Learning Blog

MAY 31, 2023

With containers, scaling on a cluster becomes much easier. In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium accelerators, which are purpose built for high-performance deep learning training. What you get is an ML development environment that is consistent and portable.

AWS 80

AWS Machine Learning Machine Learning Clustering 80

Flipboard

MARCH 13, 2023

Therefore, VMware Carbon Black and AWS chose to build a custom MLOps pipeline using Amazon SageMaker for its ease of use, versatility, and fully managed infrastructure. In this post, VMware Carbon Black and AWS architects discuss how we built and managed custom ML workflows using Gitlab , Amazon MWAA, and SageMaker.

ML 102

ML ML AWS Data Scientist 102

ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. Troubleshooting Search and Retrieval with LLMs Xander Song | Machine Learning Engineer and Developer Advocate | Arize AI Some of the major challenges in deploying LLM applications are the accuracy of results and hallucinations. Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52