AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices.

Enterprise 115

Enterprise APIs Government Accountability 115

AWS Machine Learning

NOVEMBER 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 102

APIs Surveys Chatbots Construction 102

AWS Machine Learning

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 103

APIs Government Best practices Metrics 103

AWS Machine Learning

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Government 121

Government APIs Enterprise Best practices 121

AWS Machine Learning

JANUARY 25, 2023

For example, a fast food chain has launched its earn and burn loyalty pilot program in some locations. This post shows you how to use an integrated solution with Amazon Lookout for Metrics to break these barriers by quickly and easily detecting anomalies in the key performance indicators (KPIs) of your interest. Choose Upload.

Metrics 87

Metrics APIs Enterprise Analytics 87

AWS Machine Learning

AUGUST 7, 2024

For example, retrieving responses from its database before generating a response could provide more relevant and coherent responses. We then retrieve answers using standard RAG and a two-stage RAG, which involves a reranking API. The framework provides a suite of metrics to evaluate different dimensions. join(batch_text_arr) s3.put_object(

APIs 132

APIs Chatbots Metrics Education 132

AWS Machine Learning

NOVEMBER 13, 2024

FMs can summarize financial statements, highlighting key metrics found through trend analysis and providing insights. Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

APIs 100

APIs Banking Enterprise Metrics 100

AWS Machine Learning

AUGUST 11, 2022

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

Metrics 82

Metrics APIs Scripts Wireless 82

AWS Machine Learning

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality.

Engineering 113

Engineering APIs Sales Enterprise 113

AWS Machine Learning

JULY 10, 2024

This process enhances task-specific model performance, allowing the model to handle custom use cases with task-specific performance metrics that meet or surpass more powerful models like Anthropic Claude 3 Sonnet or Anthropic Claude 3 Opus. Fine-tuning Anthropic Claude 3 Haiku in Amazon Bedrock offers significant advantages for enterprises.

APIs 133

APIs Airlines Metrics Engineering 133

AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab.

Metrics 92

Metrics Engineering Accountability Telecommunications 92

AWS Machine Learning

NOVEMBER 1, 2024

We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics. Structured outputs – For example, when you have 10,000 labeled examples specific to your use case and need Anthropic’s Claude 3 Haiku to accurately identify them.

Best practices 96

Best practices APIs Finance Engineering 96

AWS Machine Learning

JUNE 5, 2024

Gather all these phishing reports and examples of non-phishing emails to prepare the training data. You should have a minimum 10 examples per class. For example, you can classify an email as phishing or not-phishing, but not both. The second column contains an example text document for that class.

APIs 112

APIs Metrics Accountability Enterprise 112

AWS Machine Learning

AUGUST 26, 2024

The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API Gateway instantiates an AWS Step Functions The state machine orchestrates the AI/ML services Amazon Transcribe and Amazon Bedrock and the NoSQL data store Amazon DynamoDB using AWS Lambda functions.

APIs 123

APIs Calibration Best practices Healthcare 123

AWS Machine Learning

APRIL 24, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

APIs 131

APIs Engineering Metrics Management 131

AWS Machine Learning

MAY 7, 2024

Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The raw transcripts are further processed to be stored using timestamps, as shown in the following example. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 128

APIs Advertising Entertainment Metrics 128

AWS Machine Learning

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Evaluation, on the other hand, involves assessing the quality and relevance of the generated outputs, enabling continual improvement.

Best practices 112

Best practices Feedback Metrics APIs 112

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 139

APIs Scripts Finance Real estate 139

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. In Part 1, we focus on creating accurate and reliable agents. and last names.

Best practices 99

Best practices APIs Metrics Accountability 99

AWS Machine Learning

NOVEMBER 13, 2024

Because SageMaker Model Cards and SageMaker Model Registry were built on separate APIs, it was challenging to associate the model information and gain a comprehensive view of the model development lifecycle. SageMaker Model Registry catalogs your models along with their versions and associated metadata and metrics for training and evaluation.

Government 105

Government Engineering Metrics APIs 105

AWS Machine Learning

DECEMBER 5, 2022

Then we dive into the two key metrics used to evaluate a biometric system’s accuracy: the false match rate (also known as false acceptance rate) and false non-match rate (also known as false rejection rate). Consider the example of Julie, a new user opening a digital bank account. The following diagram outlines the process.

Metrics 81

Metrics Best practices Banking APIs 81

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 130

Real estate APIs Metrics Construction 130

AWS Machine Learning

JUNE 20, 2024

We used a large language model (LLM) with query examples to make the search work using the language used by Imperva internal users (business analysts). Using an LLM with the right examples can make this task less difficult. The idea is to use metrics to compare experiments during development. The challenge is to assure quality.

Construction 110

Construction APIs Metrics Engineering 110

AWS Machine Learning

NOVEMBER 9, 2023

This benefits enterprise software development and helps overcome the following challenges: Sparse documentation or information for internal libraries and APIs that forces developers to spend time examining previously written code to replicate usage. Inadvertent use of deprecated code and APIs by developers.

APIs 108

APIs Enterprise Metrics Engineering 108

AWS Machine Learning

MARCH 22, 2023

For example, Rekognition Custom Labels can find your logo in social media posts, identify your products on store shelves, classify machine parts in an assembly line, distinguish healthy and infected plants, or detect animated characters in videos. You can also use precision or recall as your model evaluation metrics.

APIs 92

APIs Metrics Engineering Feedback 92

AWS Machine Learning

JULY 3, 2024

Solution overview Knowledge Bases for Amazon Bedrock allows you to configure your RAG applications to query your knowledge base using the RetrieveAndGenerate API , generating responses from the retrieved information. The following diagram illustrates an example workflow. Upload the unzipped files to this S3 bucket.

APIs 129

APIs Banking Metrics Management 129

AWS Machine Learning

JUNE 25, 2024

We will use the contextual conversational assistant example in the Amazon Bedrock GitHub repository to provide examples of how you can customize these views to further enhance visibility, tailored to your use case. A new automatic dashboard for Amazon Bedrock was added to provide insights into key metrics for Amazon Bedrock models.

Metrics 122

Metrics APIs Government Big data 122

AWS Machine Learning

SEPTEMBER 30, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 89

APIs Real estate Accountability Metrics 89

AWS Machine Learning

SEPTEMBER 20, 2024

In this blog post, we will talk about Amazon Q Business use cases, walk-through an example application, and discuss approaches for measuring productivity gains. The web experience can be created using either the AWS Management Console or the Amazon Q Business APIs. Shorter completion times suggest productivity gains.

Wireless 100

Wireless Enterprise APIs Chatbots 100

AWS Machine Learning

NOVEMBER 21, 2024

The CreateAutoMLJobV2 API offers a low-level interface that allows for more control and customization. Using the SDK offers benefits like faster prototyping, better usability, and pre-built functions, and the API is better for advanced customizations. For this project, we used the Meta Llama2-7B model.

Metrics 83

Metrics APIs Healthcare Scripts 83

AWS Machine Learning

NOVEMBER 21, 2023

For example, when cataloging financial reports in a document database, extracting and storing the title as a catalog index enables easy retrieval. The LAYOUT feature of AnalyzeDocument API can now detect up to ten different layout elements in a document’s page. Extracting specific parts of the document.

APIs 113

APIs Construction Metrics Education 113

ChurnZero

MARCH 18, 2022

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

SaaS 98

SaaS Metrics Surveys Enterprise 98

AWS Machine Learning

OCTOBER 23, 2024

Amazon Bedrock serves as the cornerstone of Wittly’s AI capabilities, offering several key advantages: Single API access – Simplifies integration with Anthropic’s Claude foundation models (FMs), allowing for straightforward updates and potential expansion to other models in the future.

Education 92

Education APIs Engineering Metrics 92

AWS Machine Learning

APRIL 17, 2024

Metrics allow teams to understand workload behavior and optimize resource allocation and utilization, diagnose anomalies, and increase overall infrastructure efficiency. Metrics are exposed to Amazon Managed Service for Prometheus by the neuron-monitor DaemonSet, which deploys a minimal container, with the Neuron tools installed.

APIs 124

APIs Metrics Accountability Management 124

AWS Machine Learning

SEPTEMBER 28, 2023

A Generative AI Gateway can help large enterprises control, standardize, and govern FM consumption from services such as Amazon Bedrock , Amazon SageMaker JumpStart , third-party model providers (such as Anthropic and their APIs), and other model providers outside of the AWS ecosystem. What is a Generative AI Gateway?

APIs 123

APIs Government Enterprise Engineering 123

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 123

APIs Scripts Entertainment Personalization 123

AWS Machine Learning

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. Real-time recommendation inference The inference phase consists of the following steps: The client application makes an inference request to the API gateway.

Personalization 121

Personalization APIs Scripts Technical Support 121