AWS Machine Learning Blog

APRIL 19, 2024

Beyond creating differentiated AI tools, we have established an integrated platform that merges AI software, cloud-based data, scalable computation infrastructure, and high-throughput chemistry and biology capabilities. You can also deploy the solution from a local computer or EC2 instance. A managed node group with two c5.xlarge

Auto-complete 93

Auto-complete Metadata AI AI 93

Dlabs.ai

SEPTEMBER 26, 2023

AWS and GCP offer robust cloud platforms, but the setup process varies significantly. Recently, we wrote a guide on deploying MLflow on Google Cloud Platform , and now we will share a comprehensive, step-by-step guide on setting up MLflow on AWS using Terraform. Follow this documentation. variable "cidr" { default = "10.0.0.0/25"

Machine Learning 52

Machine Learning Data Science Automation ML 52

Flipboard

NOVEMBER 24, 2023

This especially helps in a few-shot prompt setting where you can have multiple queries and responses with queries tagged with nnHuman and previous responses tagged with nnAssistant. When using Claude, you can take advantage of its innate knowledge of arbitrary XML tags in order to provide these examples in a few-shot format.

ETL 112

ETL Prompt Engineer Prompt Engineering Generative AI 112

AWS Machine Learning Blog

OCTOBER 6, 2023

Furthermore, we discuss the diverse applications of these models, focusing particularly on several real-world scenarios, such as zero-shot tag and attribution generation for ecommerce and automatic prompt generation from images. This is where the power of auto-tagging and attribute generation comes into its own.

Generative AI 91

Generative AI Prompt Engineer Prompt Engineering Computer Vision 91

Mlearning.ai

FEBRUARY 28, 2023

Writing More Production-Ready Data Science Project (Part 2): Creating a Web App with Streamlit and Deploying to Google Cloud Run with Docker Photo by Venti Views on Unsplash 1. We will test the app locally before containerizing it with Docker and deploy it on Google Cloud Run to share with the world. for the Google Cloud Run service.

Data Science 52

Data Science Python Data Scientist ML 52

AWS Machine Learning Blog

OCTOBER 2, 2023

The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which you can deploy as part of a manufacturing process. AWS IoT Greengrass is an Internet of Things (IoT) open-source edge runtime and cloud service that helps you build, deploy, and manage edge device software.

Automation 84

Automation DevOps ML Machine Learning 84

Flipboard

FEBRUARY 16, 2023

At the server level, such training workloads demand faster compute and increased memory allocation. It is our largest UltraCluster to date, offering 6 exaflops of compute power on demand with up to 30,000 Trainium chips. The infrastructure consists of a head node and multiple Trn1 compute nodes within a virtual private cloud (VPC).

Large Language Models 106

Large Language Models LLM BERT Deep Learning 106

ML @ CMU

MARCH 22, 2024

Making matters worse, there aren’t any public datasets to evaluate or improve models in this domain. These systems are adept at navigating through thousands of photos to tag athletes, enabling fans and participants alike to swiftly locate images of specific racers or moments from events.

Computer Vision 106

Computer Vision Machine Learning ML 106

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He is also a professor emeritus of computer science at Stanford University, where he taught and researched since 1987.

Machine Learning 52

Machine Learning Data Scientist Computer Vision ML 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He is also a professor emeritus of computer science at Stanford University, where he taught and researched since 1987.

Machine Learning 52

Machine Learning Data Scientist Computer Vision ML 52

AWS Machine Learning Blog

NOVEMBER 20, 2023

KT’s AI Food Tag is an AI-based dietary management solution that identifies the type and nutritional content of food in photos using a computer vision model. The AI Food Tag can help patients with chronic diseases such as diabetes manage their diets. 24xlarge, ml.p4de.24xlarge, 24xlarge, and ml.p5.48xlarge.

Deep Learning 85

Deep Learning Machine Learning ML Data Scientist 85

ML @ CMU

MARCH 25, 2024

Making matters worse, there aren’t any public datasets to tune or improve models in this domain. These systems are adept at navigating through thousands of photos to tag athletes, enabling fans and participants alike to swiftly locate images of specific racers or moments from events.

Computer Vision 98

Computer Vision Machine Learning ML 98

NVIDIA

JULY 13, 2023

Generative AI — the ability of algorithms to create new text, images, sounds, animations, 3D models and even computer code — is moving at warp speed, transforming the way people work and play. The engine driving generative AI is accelerated computing. Now, generative AI can do the heavy lifting.

Generative AI 98

Generative AI AI AI Natural Language Processing 98

AWS Machine Learning Blog

APRIL 22, 2024

Amazon SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training, removing the undifferentiated heavy lifting involved in managing and optimizing a large training compute cluster. Add any optional tags, then choose Next. Open Active Directory Users and Computers from the Start menu. Choose Next.

Software Engineer 81

Software Engineer Software Development Machine Learning ML 81

AWS Machine Learning Blog

NOVEMBER 1, 2023

Now a part of Reveal’s AI-powered eDiscovery platform, Logikcull is a self-service solution that allows legal professionals to process, review, tag, and produce electronic documents as part of a lawsuit or investigation. Logikcull uses this confidence score to assign the tag PII Detected to the documents.

Software Engineer 82

Software Engineer Metadata Machine Learning Natural Language Processing 82

AWS Machine Learning Blog

MAY 30, 2023

You can also apply additional filters such as account number, Amazon Elastic Compute Cloud (Amazon EC2) instance type, cost allocation tag, Region, and more. You can also include cost-allocation tags in your query for an additional level of granularity. Each of these tasks may have varying computing resource requirements.

ML 77

ML Deep Learning Neural Network Machine Learning 77

AWS Machine Learning Blog

FEBRUARY 13, 2024

In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%. We used two Amazon Elastic Compute Cloud (Amazon EC2) p4d.24

Computer Vision 94

Computer Vision Convolutional Neural Networks AI AI 94

Viso.ai

DECEMBER 20, 2023

The computer vision annotation tool CVAT provides a powerful solution for image annotation in computer vision. Computational vision is the research field that uses machines to collect and analyze images and videos to extract information from processed visual data. Get a demo or the whitepaper. Who developed CVAT?

Computer Vision 98

Computer Vision Deep Learning Neural Network Automation 98

AWS Machine Learning Blog

AUGUST 23, 2023

Enabling developer skills to undergo a reboot Most developers must undergo at least 4 months of training before being tagged to projects. He holds a bachelor’s degree in Computer Engineering from Goa University and Ph.D. in Computer Science from Rutgers University. The accurate code generation makes the lift easy.

Software Engineer 72

Software Engineer Generative AI Prompt Engineer Prompt Engineering 72

Unite.AI

JUNE 15, 2023

He has ML publications and infrastructure patents, was a World Finalist at the ACM International Collegiate Programming Contest, and was named to Forbes 30 under 30. The same way computing in and of itself became a thing. Computers going from giant mainframes to the personal computing. For us, you start by integrating.

Large Language Models 246

Large Language Models Generative AI Chatbots Auto-complete 246

ODSC - Open Data Science

JUNE 19, 2023

With edge computing and generative artificial intelligence now becoming a part of modern digital life, big data is set to grow even bigger, and it is important to have a reliable embedded OS to match this growth. This entails the use of other technologies such as distributed computing, edge computing, and cloud computing.

Big Data 96

Big Data ETL Artificial Intelligence Artificial Intelligence 96

AWS Machine Learning Blog

MAY 18, 2023

Configure optional encryption settings and tags. Enter optional tags. For this post, no web proxy is used because the SharePoint application used for this example is a public-facing application. For Virtual Private Cloud (VPC) , choose the VPC through which the SharePoint application is reachable from your SharePoint connector.

IDP 73

IDP Metadata ML Categorization 73

AWS Machine Learning Blog

NOVEMBER 16, 2023

We propose using this capability with the Amazon SageMaker platform of services to improve regression model accuracy in an ML use case, and independently, for the automated tagging of visual images. Latitude Computed by passing original ZIP code into Amazon Location Service. Feature Comment Number of bedrooms. Number of bathrooms.

ML 82

ML Machine Learning Computer Vision Auto-classification 82

Flipboard

DECEMBER 6, 2023

The dataset consists of time series data points representing the number of assets owned; the transaction history between investment institutions, individuals, and public companies; and many more elements. As for performance, the goal was to maintain a query response time of seconds to ensure a positive experience for end-users.

Chatbots 130

Chatbots LLM Prompt Engineer Prompt Engineering 130

AWS Machine Learning Blog

APRIL 7, 2023

With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications networks and the cloud. About the Authors Robert Belson is a Developer Advocate in the AWS Worldwide Telecom Business Unit, specializing in AWS Edge Computing.

BERT 77

BERT Metadata Natural Language Processing ML 77

AWS Machine Learning Blog

JANUARY 13, 2023

Deploying an FL framework on the cloud has several challenges. Automating the client-server infrastructure to support multiple accounts or virtual private clouds (VPCs) requires VPC peering and efficient communication across VPCs and instances. In the first post , we described FL concepts and the FedML framework. HCLS use case.

Machine Learning 68

Machine Learning ML Categorization Deep Learning 68

Snorkel AI

JUNE 12, 2023

Achieving real enterprise outcomes with GPT-You, not GPT-X Modern large language or “foundation” models have become incredibly powerful over the last several years due to a combination of data and compute scaling and “deep” model architectures. classification, tagging, extraction). Footnotes (1) Brants et al.

Data Platform 145

Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

Achieving real enterprise outcomes with GPT-You, not GPT-X Modern large language or “foundation” models have become incredibly powerful over the last several years due to a combination of data and compute scaling and “deep” model architectures. classification, tagging, extraction). Footnotes (1) Brants et al.

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141

Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

John Snow Labs

JULY 19, 2023

Berkeley Labs’ BAIR has contributed to the open-source scene with Koala, a version of LLaMA fine-tuned on dialogue data scraped from the web and various public datasets. Finally, OpenLLaMA , a public preview of a permissively licensed open-source reproduction of Meta AI’s LLaMA, has been trained on the RedPajama dataset.

LLM 98

LLM OpenAI Large Language Models NLP 98

Marktechpost

JULY 17, 2023

Synthetic datasets are sometimes superior to real-world data since they are automatically tagged and can purposefully include uncommon but critical corner situations. It resembles a game of computer chess between two systems, but one generates fictitious data while the other assesses the veracity of the outcome.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

AWS Machine Learning Blog

JULY 3, 2023

In computer vision (CV), adding tags to identify objects of interest or bounding boxes to locate the objects is called labeling. This pre-trained model in the case of AV/ADAS systems is deployed onto the car at the edge, and can be used within large-scale, batch inference jobs on the cloud to generate high-quality labels.

Deep Learning 78

Deep Learning Auto-complete Machine Learning ML 78

AWS Machine Learning Blog

NOVEMBER 29, 2023

Each step of the workflow is developed in a different notebook, which are then converted into independent notebook jobs steps and connected as a pipeline: Preprocessing – Download the public SST2 dataset from Amazon Simple Storage Service (Amazon S3) and create a CSV file for the notebook in Step 2 to run. train sst2.train

Data Drift 78

Data Drift BERT Data Scientist ML 78

AWS Machine Learning Blog

JANUARY 17, 2023

Computer vision. We set the total number of tuning jobs as 10 and distribute these jobs on five different Amazon Elastic Compute Cloud (Amazon EC2) instances for running parallel tuning jobs. Understanding customer behavior is top of mind for every business today. Credit rating prediction. Fraud detection. Churn prediction.

Categorization 68

Categorization BERT Machine Learning Neural Network 68

AWS Machine Learning Blog

NOVEMBER 22, 2023

Use IAM roles to control access and enforce least privilege access – To manage user access to IDP services, you should create IAM roles for user access to services in the IDP application and attach the appropriate policies and tags to achieve least privilege access. His focus is natural language processing and computer vision.

IDP 78

IDP Machine Learning Natural Language Processing ML 78

Mlearning.ai

SEPTEMBER 4, 2023

They include: Public access: Access to closed tools like OpenAI’s ChatGPT may be viable for some organizations. Privacy: Privacy concerns exist when employees share sensitive corporate data with public models. An empirical analysis of compute-optimal large language model training.” There are various options available.

Generative AI 52

Generative AI Large Language Models AI AI 52

John Snow Labs

SEPTEMBER 26, 2023

Supriya Raman, VP of Data Science at JPMorgan, comments, “Using LLMs on domain-specific knowledge bases ensures that we can fine-tune them on data specific to our organization or domain, improving search accuracy, automating tagging, and even generating new content.

NLP 52

NLP Large Language Models LLM Data Scientist 52