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

OCTOBER 29, 2024

However, because multiple teams might use your ML platform in the cloud, monitoring large ML workloads across a scaling multi-account environment presents challenges in setting up and monitoring telemetry data that is scattered across multiple accounts. Consolidate metrics across source accounts and build unified dashboards.

Government 101

Government Metrics Accountability APIs 101

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. This pipeline step uses a Lambda step , which runs a serverless Lambda function.

Metrics 83

Metrics APIs Healthcare Scripts 83

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. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well. We focus on the task of answering questions about the table.

Best practices 96

Best practices APIs Finance Engineering 96

AWS Machine Learning

NOVEMBER 21, 2023

Building document processing and understanding solutions for financial and research reports, medical transcriptions, contracts, media articles, and so on requires extraction of information present in titles, headers, paragraphs, and so on. Text – Text that is present typically as a part of paragraphs in documents.

APIs 113

APIs Construction Metrics Education 113

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

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). We use FMR and FNMR as our two key metrics to evaluate facial biometric systems. False non-match rate.

Metrics 81

Metrics Best practices Banking APIs 81

AWS Machine Learning

AUGUST 2, 2024

Earnings calls are live conferences where executives present an overview of results, discuss achievements and challenges, and provide guidance for upcoming periods. Draft a comprehensive earnings call script that covers the key financial metrics, business highlights, and future outlook for the given quarter.

Engineering 129

Engineering Scripts Metrics APIs 129

AWS Machine Learning

APRIL 4, 2024

However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests. For more information about these metrics, see Evaluating a solution version with metrics.

Personalization 100

Personalization APIs Engineering Metrics 100

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. However, hosting models presents its own unique set of challenges. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API.

APIs 139

APIs Scripts Finance Real estate 139

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

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.

Best practices 99

Best practices APIs Metrics Accountability 99

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

NOVEMBER 19, 2024

As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.

APIs 89

APIs Enterprise Best practices Government 89

AWS Machine Learning

NOVEMBER 17, 2022

Beyond model accuracy, other potential metrics of importance are model training time and inference time. JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. In this section, we present the results from these 15 runs. Solution overview.

APIs 92

APIs Scripts Metrics 92

AWS Machine Learning

JANUARY 5, 2024

Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.

Management 133

Management APIs Engineering Government 133

AWS Machine Learning

AUGUST 26, 2024

Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness. Our field organization includes customer-facing teams (account managers, solutions architects, specialists) and internal support functions (sales operations).

Sales 126

Sales Accountability Feedback Metrics 126

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

AWS Machine Learning

OCTOBER 24, 2024

The retrieve_and_generate API does both the retrieval and a call to an FM (Amazon Titan or Anthropic’s Claude family of models on Amazon Bedrock ), for a fully managed solution. Mean Reciprocal Rank (MRR) – This metric considers the ranking of the retrieved documents. Adding guardrails against such behavior is essential.

Chatbots 85

Chatbots Metrics Scripts APIs 85

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 129

Healthcare Engineering APIs Benchmark 129

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. Here we use the number of requests per second as a custom metric. A managed node group with two c5.xlarge

Metrics 126

Metrics APIs Scripts Construction 126

AWS Machine Learning

DECEMBER 1, 2022

You can then compare the performance of the two versions using metrics such as latency and error rate. Optionally, you can monitor the variants through a built-in dashboard with a side-by-side comparison of the performance metrics. Please refer to the CreateModel API here. Pre-requisites. Step 1 – Create a shadow test.

APIs 90

APIs Metrics Management Self service 90

AWS Machine Learning

APRIL 11, 2023

Some customers use third-party face liveness features that can only detect spoof attacks presented to the camera (such as printed or digital photos or videos on a screen), which work well for users in select geographies, and are often completely customer-managed. Spoof detection Face Liveness can deter presentation and bypass spoof attacks.

APIs 90

APIs Accountability Government Healthcare 90

AWS Machine Learning

NOVEMBER 14, 2024

The user’s request is sent to AWS API Gateway , which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location. These features are presented in a web UI that was designed as a one-stop solution for our users.

APIs 110

APIs Engineering Personalization Transportation 110

CSM Magazine

APRIL 26, 2024

One efficient method involves automating data collection through the use of APIs (Application Programming Interfaces) or connections with systems, like Human Resource Information Systems (HRIS) or Customer Relationship Management (CRM) software. Automate report creation Automation presents a method to reduce the time spent on LMS reporting.

Analytics 52

Analytics APIs Metrics Education 52

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 134

Healthcare APIs Metrics Scripts 134

AWS Machine Learning

NOVEMBER 22, 2024

We use the following AWS services: Amazon Bedrock to invoke LLMs AWS Identity and Access Management (IAM) for permission control across various AWS services Amazon SageMaker to host Jupyter notebooks and invoke the Amazon Bedrock API In the following sections, we demonstrate how to use the GitHub repository to run all of the techniques in this post.

Consulting 67

Consulting Consulting APIs Calibration 67

AWS Machine Learning

SEPTEMBER 16, 2024

When presented with the search queries, the RAG-based application searches the data source for relevant documents or passages. In this space, the similarity between the query and document vectors can be computed using standard distance metrics like cosine similarity or euclidean distance.

Enterprise 117

Enterprise Accountability APIs Metrics 117

AWS Machine Learning

MAY 1, 2024

Validation loss and validation perplexity – Similar to the training metrics, but measured during the validation stage. Use the model You can access your fine-tuned LLM through the Amazon Bedrock console, API, CLI, or SDKs. He actively shares his expertise through his YouTube channel, blog posts, and presentations.

APIs 125

APIs SaaS Accountability Chatbots 125

AWS Machine Learning

MAY 5, 2023

Using architecture diagrams as an example, the solution needs to search through reference links and technical documents for architecture diagrams and identify the services present. Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced.

Engineering 108

Engineering APIs Scripts Enterprise 108

AWS Machine Learning

JUNE 20, 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.

Metrics 132

Metrics Engineering Accountability Benchmark 132

AWS Machine Learning

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics 127

Analytics APIs Engineering Construction 127

VirtualPBX

NOVEMBER 8, 2023

In this blog, we are excited to present three compelling case studies that vividly illustrate how VirtualPBX has significantly elevated the performance of these businesses, making them more efficient and customer-centric. VirtualPBX, with its cloud-based solution and 99.999% reliability, became its trusted partner.

Healthcare 98

Healthcare APIs Customer centricity Accountability 98

AWS Machine Learning

MAY 9, 2024

Solution Overview The following diagram presents a high-level architectural data flow highlighting several of the AWS services used in building the solution. Relevance Ranking – Although Amazon Kendra returned confidence scores on search results, Verisk needed to further tune the search results for Query API calls for a few scenarios.

Engineering 134

Engineering Customer Support APIs Government 134

AWS Machine Learning

NOVEMBER 22, 2022

We also demonstrate how to understand the different sentiments associated with specific entities in the text (such as company, product, person, or brand) directly from the API. The Amazon Comprehend sentiment API identifies the overall sentiment for a text document. Use cases for real-time sentiment analysis. Solution overview.

APIs 80

APIs CRM Feedback B2C 80

AWS Machine Learning

JANUARY 8, 2024

Now that the table is created and populated with the document object references, the script is ready to start calling the Amazon Textract StartDocumentTextDetection API. Amazon Textract, similar to other managed services, has a default limit on the APIs called transactions per second (TPS).

Scripts 109

Scripts Construction APIs Healthcare 109

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.

Chatbots 121

Chatbots Engineering Enterprise Feedback 121