AWS Machine Learning

MAY 9, 2024

Verisk has embraced this technology and has developed their own Instant Insight Engine, or AI companion, that provides an enhanced self-service capability to their FAST platform. First, they used the Amazon Kendra Retrieve API to get multiple relevant passages and excerpts based on keyword search.

Engineering 127

Engineering Customer Support APIs Government 127

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

NOVEMBER 13, 2024

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes.

Engineering 114

Engineering Management APIs Healthcare 114

AWS Machine Learning

APRIL 9, 2024

In this post, we discuss two new features of Knowledge Bases for Amazon Bedrock specific to the RetrieveAndGenerate API: configuring the maximum number of results and creating custom prompts with a knowledge base prompt template. For best practices on prompt engineering, refer to Prompt engineering guidelines.

APIs 133

APIs Engineering Healthcare Education 133

AWS Machine Learning

JULY 2, 2024

Amazon Bedrock is a fully managed service that makes a wide range of foundation models (FMs) available though an API without having to manage any infrastructure. An Amazon OpenSearch Serverless vector engine to store enterprise data as vectors to perform semantic search. The request is sent by the web application to the API.

APIs 141

APIs Scripts Enterprise Engineering 141

AWS Machine Learning

NOVEMBER 22, 2023

We also use Vector Engine for Amazon OpenSearch Serverless (currently in preview) as the vector data store to store embeddings. Here’s how RAG operates: Data sources – RAG can draw from varied data sources, including document repositories, databases, or APIs. Lewis et al. An OpenSearch Serverless collection.

Engineering 123

Engineering Chatbots APIs Benchmark 123

AWS Machine Learning

MAY 1, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 129

Chatbots APIs Engineering Automotive 129

AWS Machine Learning

NOVEMBER 1, 2023

Overview of solution The overarching goal for the engineering team is to detect and redact PII from millions of legal documents for their customers. Using Reveal’s Logikcull solution, the engineering team implemented two processes, namely first pass PII detection and second pass PII detection and redaction.

APIs 119

APIs Government Engineering Telecommunications 119

AWS Machine Learning

MARCH 4, 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, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Feedback 136

Feedback APIs Engineering Surveys 136

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. You can easily extend this solution to add more functionality.

Scripts 144

Scripts APIs Engineering Construction 144

AWS Machine Learning

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs.

Management 113

Management APIs Engineering Metrics 113

AWS Machine Learning

MAY 15, 2024

Here, Amazon SageMaker Ground Truth allowed ML engineers to easily build the human-in-the-loop workflow (step v). Regarding the inference, customers using Amazon Ads now have a new API to receive these generated images. The Amazon API Gateway receives the PUT request (step 1). Burak is still a research affiliate in MIT.

Advertising 130

Advertising APIs Engineering Benchmark 130

AWS Machine Learning

MARCH 27, 2024

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.

Enterprise 119

Enterprise APIs Metrics Engineering 119

AWS Machine Learning

MAY 15, 2024

This post demonstrates how to use advanced prompt engineering to control an LLM’s behavior and responses. The Amazon Bedrock API returns the output Q&A JSON file to the Lambda function. The container image sends the REST API request to Amazon API Gateway (using the GET method). The Docker engine.

Education 142

Education APIs Engineering Banking 142

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. API Gateway invokes a Lambda function to initiate model updates.

APIs 127

APIs Construction Engineering Analytics 127

AWS Machine Learning

MAY 21, 2024

While these tasks can feel like a chore, they are critical to search engine optimization (SEO) and therefore the audience reach of the article. Rewriting these dispatches is also necessary for SEO, as search engines rank duplicate content low. Amazon DynamoDB serves as the primary database for 20 Minutes articles.

Advertising 138

Advertising APIs Engineering industry standards 138

AWS Machine Learning

MAY 17, 2024

The process of designing and refining prompts to get specific responses from these models is called prompt engineering. Detect if the review content has any harmful information using the Amazon Comprehend DetectToxicContent API. Repeat the toxicity detection through the Comprehend API for the LLM generated response.

APIs 135

APIs Construction Engineering Enterprise 135

AWS Machine Learning

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. The tasks are then run through a series of API calls. What is an AI assistant?

APIs 136

APIs Engineering Metrics Management 136

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. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise 112

Enterprise APIs Government Accountability 112

AWS Machine Learning

MARCH 29, 2024

The Amazon Lex fulfillment AWS Lambda function retrieves the Talkdesk touchpoint ID and Talkdesk OAuth secrets from AWS Secrets Manager and initiates a request to Talkdesk Digital Connect using the Start a Conversation API. If the request to the Talkdesk API is successful, a Talkdesk conversation ID is returned to Amazon Lex.

Cloud contact 119

Cloud contact Contact Center Chatbots APIs 119

AWS Machine Learning

NOVEMBER 7, 2024

Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help developers and prompt engineers get better responses from foundation models (FMs) for their use cases. It also allows teams to reuse and share prompts and track different versions.

Management 139

Management APIs Engineering Enterprise 139

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

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs 141

APIs Big data Accountability Enterprise 141

AWS Machine Learning

DECEMBER 4, 2024

Today, we’re excited to announce a new capability that allows you to deploy over 100 open-weight and proprietary models from Amazon SageMaker JumpStart and register them with Amazon Bedrock , allowing you to seamlessly access them through the powerful Amazon Bedrock APIs.

APIs 104

APIs Engineering Management Customer centricity 104

AWS Machine Learning

FEBRUARY 19, 2024

The integration of retrieval and generation also requires additional engineering effort and computational resources. For text generation, Amazon Bedrock provides the RetrieveAndGenerate API to create embeddings of user queries, and retrieves relevant chunks from the vector database to generate accurate responses.

Chatbots 133

Chatbots APIs Engineering Enterprise 133

AWS Machine Learning

NOVEMBER 29, 2023

Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI.

APIs 116

APIs Engineering Enterprise Accountability 116

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. There are many prompt engineering techniques. A prompt task is defined by prompt engineering.

Healthcare 134

Healthcare Engineering APIs Benchmark 134

AWS Machine Learning

MAY 30, 2024

The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. Building a robust solution to extract information from videos poses challenges from both machine learning (ML) and engineering perspectives. Detect text using the Amazon Rekognition text detection API.

Advertising 127

Advertising APIs Education Analytics 127

AWS Machine Learning

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

Best practices 138

Best practices Enterprise Engineering APIs 138

AWS Machine Learning

MARCH 14, 2024

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

Best practices 133

Best practices Engineering Chatbots Enterprise 133

AWS Machine Learning

SEPTEMBER 26, 2024

This domain knowledge is traditionally captured in reference manuals, service bulletins, quality ticketing systems, engineering drawings, and more, but the quantity and complexity of documents is growing and takes time to learn. We demonstrate how to do this using both APIs and the Amazon Bedrock console.

APIs 116

APIs Chatbots Engineering Accountability 116

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

AWS Machine Learning

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. Prerequisites You should have the following: Understanding of Agents for Amazon Bedrock , prompt engineering, Knowledge Bases for Amazon Bedrock, Lambda functions , and AWS Identity and Access Management (IAM).

Scripts 137

Scripts APIs Engineering industry standards 137

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

AUGUST 20, 2024

Configuring IP-restricted presigned URLs for SageMaker Ground Truth The new IP restriction feature for presigned URLs in SageMaker Ground Truth can be enabled through the SageMaker API or the AWS Command Line Interface (AWS CLI). You can also perform these operations through the SageMaker API using the AWS SDK.

APIs 112

APIs Engineering Accountability Management 112

AWS Machine Learning

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. Note that the next action may or may not involve using a tool or API.

APIs 127

APIs Chatbots Engineering Management 127

AWS Machine Learning

FEBRUARY 11, 2025

Enhancing AWS Support Engineering efficiency The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. For example, the Datastore API might require certain input like date periods to query data.

Enterprise 101

Enterprise Engineering APIs Best practices 101