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

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 136

APIs Engineering Metrics Management 136

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 135

APIs Advertising Entertainment Metrics 135

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 112

Enterprise APIs Government Accountability 112

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 127

Government APIs Enterprise Best practices 127

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 129

APIs Airlines Metrics Engineering 129

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 110

APIs Government Best practices Metrics 110

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 120

APIs Metrics Accountability Enterprise 120

AWS Machine Learning

FEBRUARY 12, 2025

This approach allows organizations to assess their AI models effectiveness using pre-defined metrics, making sure that the technology aligns with their specific needs and objectives. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process.

Metrics 100

Metrics Engineering APIs Benchmark 100

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 97

Metrics Best practices Banking APIs 97

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 98

Metrics Engineering Accountability Telecommunications 98

AWS Machine Learning

DECEMBER 4, 2024

In a production environment, you continue to use the existing Amazon Bedrock Inference APIs, such as the InvokeModel or Converse API, and turn on invocation logs that store model input data (prompts) and model output data (responses). Amazon Bedrock generates responses from the teacher model for the provided prompts.

APIs 116

APIs Metrics Healthcare Chatbots 116

AWS Machine Learning

NOVEMBER 26, 2024

For example, we could use Instruction fine-tuning to increase the model performance on an incident classification or summarization. Tasks We will showcase three example tasks to delve into using LLMs in the context of an SOC. Following these examples, the model is then prompted to generate the SQL query for a question of interest.

APIs 101

APIs Metrics SaaS Engineering 101

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 110

Engineering APIs Sales Enterprise 110

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 127

Real estate APIs Metrics Construction 127

ProProfs Blog

JUNE 26, 2020

Application Program Interface (API). Application Programming Interface (API) is a combination of various protocols, tools, and codes. The function of the API enables apps to communicate with each other. 50 EXAMPLES OF CANNED RESPONSES > Channels. Agent Performance Report. Canned Response. Chat Duration. Eye Catcher.

Customer Service 179

Customer Service APIs Customer Support Feedback 179

CCNG

MAY 30, 2024

Forecasting Core Features The Ability to Consume Historical Data Whether it’s from a copy/paste of a spreadsheet or an API connection, your WFM platform must have the ability to consume historical data. Recent growth patterns – Is volume up year-over-year in the recent weeks/months?

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

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 118

APIs Enterprise Metrics Engineering 118

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

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

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 132

APIs Banking Metrics Management 132

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 119

APIs Calibration Best practices Metrics 119

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 98

APIs Metrics Engineering Feedback 98

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 113

Construction APIs Metrics Engineering 113

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

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 123

APIs Metrics Accountability Management 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 124

Personalization APIs Scripts Technical Support 124

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 115

APIs Construction Metrics Education 115

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 119

Metrics APIs Government Big data 119

AWS Machine Learning

DECEMBER 29, 2022

The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents. The Analyze Lending feature in Amazon Textract is a managed API that helps you automate mortgage document processing to drive business efficiency, reduce costs, and scale quickly.

APIs 119

APIs Banking Real estate Healthcare 119

AWS Machine Learning

APRIL 19, 2024

Solution overview In this section, we present a generic architecture that is similar to the one we use for our own workloads, which allows elastic deployment of models using efficient auto scaling based on custom metrics. The reverse proxy collects metrics about calls to the service and exposes them via a standard metrics API to Prometheus.

Metrics 123

Metrics APIs Scripts Construction 123

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 118

APIs Government Enterprise Engineering 118

AWS Machine Learning

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. These metrics will assess how well a machine-generated summary compares to one or more reference summaries.

Healthcare 134

Healthcare Engineering APIs Benchmark 134

AWS Machine Learning

SEPTEMBER 5, 2023

For example, the TII Falcon-40B Instruct model requires at least an ml.g5.12xlarge instance to be loaded into memory successfully, but performs best with bigger instances. Earlier this year, we announced Amazon Bedrock , a serverless API to access foundation models from Amazon and our generative AI partners.

APIs 121

APIs Metrics Chatbots Engineering 121

AWS Machine Learning

AUGUST 2, 2024

Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends. Draft a comprehensive earnings call script that covers the key financial metrics, business highlights, and future outlook for the given quarter.

Engineering 130

Engineering Scripts Metrics APIs 130

AWS Machine Learning

FEBRUARY 6, 2023

Together with the implementation details in a corresponding example Jupyter notebook , you will have tools available to perform model selection by exploring pareto frontiers, where improving one performance metric, such as accuracy, is not possible without worsening another metric, such as throughput.

APIs 98

APIs Scripts Metrics Benchmark 98

AWS Machine Learning

MAY 1, 2024

For Model name , enter a name (for example, MyModel ). Validation loss and validation perplexity – Similar to the training metrics, but measured during the validation stage. For this example, we enter the question, “Who developed the lie-detecting algorithm Fraudoscope?” Choose New model. Choose Create.

APIs 132

APIs SaaS Accountability Education 132