AWS Machine Learning

APRIL 23, 2024

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

APIs 127

APIs Enterprise Scripts Accountability 127

AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing 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 120

APIs Call flow Accountability Technology 120

AWS Machine Learning

APRIL 18, 2024

In this post, we show you how to use LMA with Amazon Transcribe , Amazon Bedrock , and Knowledge Bases for Amazon Bedrock. Context-aware meeting assistant – It uses Knowledge Bases for Amazon Bedrock to provide answers from your trusted sources, using the live transcript as context for fact-checking and follow-up questions.

APIs 134

APIs Accountability Analytics Entertainment 134

AWS Machine Learning

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. The following diagram depicts a high-level RAG architecture.

Best practices 131

Best practices APIs Accountability Personalization 131

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 113

Enterprise APIs Government Accountability 113

AWS Machine Learning

JANUARY 28, 2025

Similarly, maintaining detailed information about the datasets used for training and evaluation helps identify potential biases and limitations in the models knowledge base. Evaluation algorithm Computes evaluation metrics to model outputs. Different algorithms have different metrics to be specified.

Management 104

Management APIs Engineering Metrics 104

AWS Machine Learning

MARCH 6, 2025

Current RAG pipelines frequently employ similarity-based metrics such as ROUGE , BLEU , and BERTScore to assess the quality of the generated responses, which is essential for refining and enhancing the models capabilities. More sophisticated metrics are needed to evaluate factual alignment and accuracy.

Metrics 86

Metrics Enterprise APIs Engineering 86

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 71

APIs Engineering Metrics Big data 71

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 94

Metrics Engineering APIs Benchmark 94

AWS Machine Learning

FEBRUARY 7, 2025

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The serverless architecture provides scalability and responsiveness, and secure storage houses the studios vast asset library and knowledge base.

Entertainment 79

Entertainment APIs Technology Feedback 79

AWS Machine Learning

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. With QnABot, companies have the flexibility to tier questions and answers based on need, from static FAQs to generating answers on the fly based on documents, webpages, indexed data, operational manuals, and more.

Chatbots 115

Chatbots Engineering Enterprise Government 115

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. Dynamic information retrieval – Amazon Bedrock agents can use web search APIs to fetch up-to-date information on a wide range of topics.

APIs 106

APIs Chatbots Construction Engineering 106

AWS Machine Learning

OCTOBER 24, 2024

Since the inception of AWS GenAIIC in May 2023, we have witnessed high customer demand for chatbots that can extract information and generate insights from massive and often heterogeneous knowledge bases. a) to augment its knowledge, along with the user query (3.b). In practice, the knowledge base is often a vector store.

Chatbots 89

Chatbots Metrics Scripts APIs 89

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 134

APIs Engineering Metrics Management 134

Global Response

MARCH 24, 2025

In this article, well explore what a call center knowledge management system (KMS) is and how it can bridge the gaps between your agents, information storage, and customer service. Read on for a blueprint for building and maintaining a successful knowledge base Key takeaways Why? What is a knowledge management system?

Call Center 62

Call Center Management Abandon rate outsourcing 62

AWS Machine Learning

JANUARY 7, 2025

The prompt generator invokes the appropriate knowledge base according to the selected mode. The translation playground could be adapted into a scalable serverless solution as represented by the following diagram using AWS Lambda , Amazon Simple Storage Service (Amazon S3), and Amazon API Gateway. Choose With Document Store.

Engineering 108

Engineering Metrics industry standards Finance 108

AWS Machine Learning

NOVEMBER 19, 2024

Gain insights into training strategies, productivity metrics, and real-world use cases to empower your developers to harness the full potential of this game-changing technology. Discover how to create and manage evaluation jobs, use automatic and human reviews, and analyze critical metrics like accuracy, robustness, and toxicity.

APIs 96

APIs Enterprise Best practices Government 96

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. Chat Response Time is a metric to monitor how much time your operators took to respond to chats. Chat Duration.

Customer Service 179

Customer Service APIs Customer Support Feedback 179

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. It’s serverless, so you don’t have to manage any infrastructure.

Healthcare 132

Healthcare Engineering APIs Benchmark 132

AWS Machine Learning

JANUARY 29, 2025

With Amazon Bedrock Knowledge Bases , you securely connect FMs in Amazon Bedrock to your company data for RAG. Amazon Bedrock Knowledge Bases facilitates data ingestion from various supported data sources; manages data chunking, parsing, and embeddings; and populates the vector store with the embeddings.

Enterprise 87

Enterprise Government Accountability Finance 87

AWS Machine Learning

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. After authentication, Amazon API Gateway and Amazon S3 deliver the contents of the Content Designer UI.

Chatbots 127

Chatbots Banking APIs Enterprise 127

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. Knowledge Base: bankingFAQ Should I invest in bitcoins?

Best practices 98

Best practices APIs Metrics Accountability 98

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 124

Government APIs Enterprise Best practices 124

AWS Machine Learning

MAY 9, 2024

Verisk FAST’s AI companion aims to alleviate this burden by not only providing 24/7 support for business processing and configuration questions related to FAST, but also tapping into the immense knowledge base to provide an in-depth, tailored response. However, they understood that this was not a one-and-done effort.

Engineering 131

Engineering Customer Support APIs Government 131

AWS Machine Learning

JUNE 25, 2024

A new automatic dashboard for Amazon Bedrock was added to provide insights into key metrics for Amazon Bedrock models. From here you can gain centralized visibility and insights to key metrics such as latency and invocation metrics. Optionally, you can select a specific model to isolate the metrics to one model.

Metrics 121

Metrics APIs Government Big data 121

CSM Magazine

NOVEMBER 4, 2024

Native language call centers, chat platforms, knowledge bases, FAQs, social media channels, even online communities…are all options. Ongoing Optimization Continuous testing and analytics around localized content performance, engagement metrics, changing trends and needs enable refinement and personalization.

Customer Experience 52

Customer Experience APIs Advertising Marketing 52

AWS Machine Learning

SEPTEMBER 20, 2024

There are many challenges that can impact employee productivity, such as cumbersome search experiences or finding specific information across an organization’s vast knowledge bases. Knowledge management: Amazon Q Business helps organizations use their institutional knowledge more effectively.

Wireless 103

Wireless Enterprise APIs Chatbots 103

AWS Machine Learning

MARCH 18, 2025

Additionally, the complexity increases due to the presence of synonyms for columns and internal metrics available. Solution overview This solution is primarily based on the following services: Foundational model We use Anthropics Claude 3.5 I am creating a new metric and need the sales data. Business Analyst at Amazon.

Enterprise 80

Enterprise Chatbots Engineering Metrics 80

CSM Magazine

FEBRUARY 19, 2025

Challenge 2: Integration with Wearables and Third-Party APIs Many people use smartwatches and heart rate monitors to measure sleep, stress, and physical activity, which may affect mental health. Third-party APIs may link apps to healthcare and meditation services. However, integrating these diverse sources is not straightforward.

APIs 52

APIs Healthcare Gamification Consulting 52

Balto

JANUARY 6, 2025

Knowledge base creation: Create FAQs and support resources to ease the load on your team and handle more customers. Customizable Knowledge Base: Encourage customer self-service by creating and maintaining extensive knowledge bases with guides, tutorials, and FAQs.

Call Center 52

Call Center Coaching Surveys Contact Center 52

AWS Machine Learning

DECEMBER 13, 2024

In this post, we demonstrate how we innovated to build a Retrieval Augmented Generation (RAG) application with agentic workflow and a knowledge base on Amazon Bedrock. We implemented the RAG pipeline in a Slack chat-based assistant to empower the Amazon Twitch ads sales team to move quickly on new sales opportunities.

Sales 97

Sales Advertising Engineering APIs 97

AWS Machine Learning

MAY 30, 2024

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so one can choose from a wide range of FMs to find the model that is best suited for their use case. Additionally, Vitech uses Amazon Bedrock runtime metrics to measure latency, performance, and number of tokens. “We

Chatbots 129

Chatbots Engineering APIs Technology 129

AWS Machine Learning

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. To understand these limitations, let’s consider again the example of deciding where to invest based on financial reports.

Analytics 126

Analytics APIs Engineering Construction 126

AWS Machine Learning

JUNE 20, 2024

Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. This makes it difficult to apply standard evaluation metrics like BERTScore ( Zhang et al. Generally, the metrics to look for are grouped by main RAG components or by domains.

Metrics 135

Metrics Engineering Accountability Benchmark 135

Spearline

JULY 21, 2022

Consequently, no other testing solution can provide the range and depth of testing metrics and analytics. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Happy days! You can check framerate information for video here too.

Scripts 98

Scripts APIs Metrics Analytics 98

AWS Machine Learning

AUGUST 26, 2024

Our internal AI sales assistant, powered by Amazon Q Business , will be available across every modality and seamlessly integrate with systems such as internal knowledge bases, customer relationship management (CRM), and more. As new models become available on Amazon Bedrock, we have a structured evaluation process in place.

Sales 126

Sales Accountability Feedback Metrics 126

AWS Machine Learning

DECEMBER 6, 2023

With this vector space as a knowledge base, you can convert a new user query, encode it into the same vector space, and retrieve the most relevant records previously indexed. To create a database, you will need a free API key from Pinecone. import pinecone import os # add Pinecone API key from app.pinecone.io

APIs 121

APIs Finance Metrics Management 121