AWS Machine Learning

NOVEMBER 8, 2022

Amazon SageMaker is a fully-managed service that provides every developer and data scientist with the ability to quickly build, train, and deploy machine learning (ML) models at scale. These four options can be broadly classified into Online and Batch inference options. ML is realized in inference. Serverless Inference.

Scripts 63

Scripts APIs Best practices Management 63

AWS Machine Learning

JUNE 14, 2022

For many companies, the solution has been to develop a company web portal, which simplifies access to cloud applications and resources, by redirecting to or embedding applications, so that employees can have a single point of access to the services they use most. The Canvas app. Solution overview. Prerequisites.

APIs 75

APIs Best practices Accountability Management 75

AWS Machine Learning

NOVEMBER 17, 2023

Many companies rely on human moderators to monitor video streams, which is time-consuming, error-prone, and doesn’t scale with business growth speed. You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo.

APIs 85

APIs Engineering Advertising Accountability 85

AWS Machine Learning

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings. Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings.

Enterprise 90

Enterprise APIs Engineering Accountability 90

Netomi

SEPTEMBER 20, 2021

As the demand for chatbot software has skyrocketed, the marketplace of companies that provide chatbot technology has become harder to navigate as competition increases with many companies promising to do the same thing. The first-generation bots that many companies adopted were very rigid and provided poor user experiences.

Chatbots 126

Chatbots APIs Surveys Analytics 126

AWS Machine Learning

JUNE 29, 2022

You can quickly launch the familiar RStudio integrated development environment (IDE), and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. Bringing your own custom image has several benefits. Solution overview.

Analytics 74

Analytics Scripts Management Engineering 74

AWS Machine Learning

MAY 16, 2023

You can easily try out this model and use it with JumpStart. Foundation models in SageMaker JumpStart provides access to a range of models from popular model hubs, including Hugging Face, PyTorch Hub, and TensorFlow Hub, which you can use within your ML development workflow in SageMaker.

Chatbots 84

Chatbots Scripts APIs Feedback 84

AWS Machine Learning

MAY 5, 2023

A retail company is building a mobile app to help customers buy clothes. To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. You can use Ground Truth and FiftyOne to accelerate your data labeling project. This is a joint post co-written by AWS and Voxel51.

Engineering 74

Engineering Feedback Marketing Management 74

JivoChat

FEBRUARY 1, 2022

To do that, it’s important to develop your brand’s visual identity, creating a logo, defining a color palette, and other visual elements that should be present in your website and social media pages, for example. Counting on the best free graphic design software can help you in that task. . More than 100 design types.

Scripts 52

Scripts Advertising Engineering Personalization 52

AWS Machine Learning

NOVEMBER 14, 2022

It contains over 300 built-in data transformations so you can quickly normalize, transform, and combine features without having to write any code. The new dataset could contain another category, India , which wasn’t part of the original dataset, which can affect the model accuracy. In this post, we demonstrate how to use this feature.

Engineering 62

Engineering Big data Banking Sales 62

AWS Machine Learning

SEPTEMBER 19, 2022

Last year, we announced the general availability of RStudio on Amazon SageMaker , the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. With this brings the challenges of increased development time and compute infrastructure management. Solution overview.

Banking 72

Banking Engineering Management Analytics 72

Inbenta

APRIL 8, 2022

This is carried out through a messaging platform on a website, a mobile app or through the telephone. This is a branch of artificial intelligence that provides computers with the ability to understand text and spoken words in much the same way that a human being can. – What architecture is needed for the most basic chatbot?

Chatbots 52

Chatbots Engineering Enterprise Scripts 52

AWS Machine Learning

OCTOBER 26, 2022

Today, that success might have seemed inevitable, but in 2017, ML still required specialized skills typically possessed by a limited group of developers, researchers, PhDs, or companies that built their business around ML. AWS launched Amazon SageMaker to break down barriers to ML and democratize access to cutting-edge technology.

Engineering 95

Engineering Construction Real estate Healthcare 95

AWS Machine Learning

JUNE 15, 2022

These ML models can then be invoked by the edge application. ML@Edge is important for many scenarios where raw data is collected from sources far from the cloud. If a defect is detected, the product can be discarded automatically without manual intervention. Edge computing is the act of running workloads on these edge devices.

Transportation 75

Transportation APIs Big data Wireless 75

AWS Machine Learning

MARCH 15, 2024

However, existing solutions can often fall into two categories: rule-based systems that demand substantial time and effort for setup and upkeep, or rigid systems that lack the flexibility required for human-like interactions with customers. Solution overview The following diagram illustrates our solution architecture.

APIs 114

APIs Engineering Technology CRM 114

AWS Machine Learning

MARCH 13, 2024

Now, you can use Gemma 2B and Gemma 7B pretrained and instruction-tuned models within SageMaker JumpStart. Now, you can use Gemma 2B and Gemma 7B pretrained and instruction-tuned models within SageMaker JumpStart. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini.

Benchmark 101

Benchmark Scripts APIs Feedback 101

AWS Machine Learning

APRIL 17, 2023

“Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. This can be a tedious task involving data collection, discovery, profiling, cleansing, structuring, transforming, enriching, validating, and securely storing the data.

Engineering 82

Engineering Scripts Analytics Healthcare 82

AWS Machine Learning

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

Analytics 96

Analytics APIs Engineering Construction 96

AWS Machine Learning

MARCH 7, 2023

This post presents and compares options and recommended practices on how to manage Python packages and virtual environments in Amazon SageMaker Studio notebooks. Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models.

Management 73

Management Scripts Government Engineering 73

AWS Machine Learning

NOVEMBER 14, 2023

You can now fine-tune and deploy Mistral text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. What is Mistral 7B Mistral 7B is a foundation model developed by Mistral AI, supporting English text and code generation abilities.

Sales 90

Sales Benchmark Healthcare Advertising 90

AWS Machine Learning

MAY 15, 2024

Crafting new questions for exams and quizzes can be tedious and time-consuming for educators. The time required varies based on factors like subject matter, question types, experience level, and class level. Students can take personalized quizzes and get immediate feedback on their performance. English characters.

Education 110

Education APIs Engineering Banking 110

AWS Machine Learning

JULY 18, 2023

Today, we are excited to announce that Llama 2 foundation models developed by Meta are available for customers through Amazon SageMaker JumpStart. The tuned models are intended for assistant-like chat, whereas pre-trained models can be adapted for a variety of natural language generation tasks.

Engineering 98

Engineering Scripts Transportation Construction 98

AWS Machine Learning

SEPTEMBER 6, 2023

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Today, we are excited to announce the capability to fine-tune Llama 2 models by Meta using Amazon SageMaker JumpStart.

Advertising 92

Advertising Coaching Benchmark Education 92

AWS Machine Learning

JANUARY 6, 2023

Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention. Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention.

Entertainment 82

Entertainment APIs Scripts Analytics 82

AWS Machine Learning

NOVEMBER 20, 2023

In SageMaker Studio, the integrated development environment (IDE) purpose-built for ML, you can launch notebooks that run on different instance types and with different configurations, collaborate with colleagues, and access additional purpose-built features for machine learning (ML).

APIs 91

APIs Entertainment Accountability Customer Experience 91

AWS Machine Learning

JANUARY 17, 2024

It can represent a geographical area as a whole or it can represent an event associated with a geographical area. There are two types of geospatial data: vector data and raster data. There are two types of geospatial data: vector data and raster data. Analysis of geospatial data is sought after in a few industries.

Advertising 98

Advertising Metrics Real estate Engineering 98

AWS Machine Learning

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

APIs 73

APIs Engineering Scripts Analytics 73

AWS Machine Learning

MAY 4, 2023

Generative AI is gaining a lot of public attention at present, with talk around products such as GPT4, ChatGPT, DALL-E2, Bard, and many other AI technologies. Many customers have been asking for more information on AWS’s generative AI solutions. The aim of this post is to address those needs. and other generative AI models.

Education 73

Education Accountability Marketing Technology 73

AWS Machine Learning

AUGUST 22, 2023

Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. What is federated learning?

Scripts 70

Scripts Accountability Transportation Benchmark 70

Callminer

NOVEMBER 6, 2019

Here, we will cover the main ways in which data visualization can remedy such confusion along with a number of tips for choosing tools that work and maximizing their utility. How Data Visualization Can Help. Visualizations turn raw metrics into stories that can be shared and acted upon. Revealing Flaws, Fraud and Anomalies.

Big data 140

Big data Analytics Metrics Sales 140

AWS Machine Learning

JUNE 28, 2023

You can easily generate images from text using Stable Diffusion models through Amazon SageMaker JumpStart. Although generative AI solutions are powerful and useful, they can also be vulnerable to manipulation and abuse. Stable Diffusion is a text-to-image model that empowers you to create photorealistic applications.

APIs 77

APIs Advertising Engineering Construction 77

AWS Machine Learning

AUGUST 15, 2023

Digital assets, together with recorded user behavior, can facilitate customer engagement by offering interactive and personalized experiences, allowing companies to connect with their target audience on a deeper level. However, among all types of digital assets, video and audio assets are the most common and important.

Chatbots 72

Chatbots Enterprise Accountability Best practices 72

AWS Machine Learning

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP).

Finance 66

Finance Scripts APIs Sales 66

AWS Machine Learning

APRIL 18, 2023

Amazon Monitron is an end-to-end condition monitoring solution that enables you to start monitoring equipment health with the aid of machine learning (ML) in minutes, so you can implement predictive maintenance and reduce unplanned downtime. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action.

Management 65

Management Analytics Enterprise Accountability 65

AWS Machine Learning

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP).

Finance 52

Finance Scripts APIs Sales 52

AWS Machine Learning

NOVEMBER 30, 2023

And global services and solutions providers like Accenture are reaping the benefits of customized generative AI applications as they empower their in-house developers with Amazon CodeWhisperer. We believe generative AI has the potential over time to transform virtually every customer experience we know.

APIs 123

APIs Enterprise Best practices Technology 123

AWS Machine Learning

JANUARY 17, 2024

Using AWS Trainium and Inferentia based instances, through SageMaker, can help users lower fine-tuning costs by up to 50%, and lower deployment costs by 4.7x, while lowering per token latency. Fine-tuning and deploying LLMs, like Llama 2, can become costly or challenging to meet real time performance to deliver good customer experience.

Engineering 97

Engineering Enterprise Healthcare Advertising 97