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Tag: Amazon Kendra

Exploring real-time streaming for generative AI Applications | Amazon Web Services

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests,...

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Enhance Amazon Connect and Lex with generative AI capabilities | Amazon Web Services

Effective self-service options are becoming increasingly critical for contact centers, but implementing them well presents unique challenges. ...

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock | Amazon Web Services

Generative AI agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and decision-making while reducing costs...

Generating value from enterprise data: Best practices for Text2SQL and generative AI | Amazon Web Services

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation,...

Create a web UI to interact with LLMs using Amazon SageMaker JumpStart | Amazon Web Services

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can...

Improve LLM responses in RAG use cases by interacting with the user | Amazon Web Services

One of the most common applications of generative AI and large language models (LLMs) is answering questions based on a specific external knowledge corpus....

Build trust and safety for generative AI applications with Amazon Comprehend and LangChain | Amazon Web Services

We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across industries. LLMs are capable...

Customizing coding companions for organizations | Amazon Web Services

Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. While the large size of...

Intelligently search Drupal content using Amazon Kendra | Amazon Web Services

Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra helps you easily aggregate content from a variety of content...

Accenture creates a Knowledge Assist solution using generative AI services on AWS | Amazon Web Services

This post is co-written with Ilan Geller and Shuyu Yang from Accenture. Enterprises today face major challenges when it comes to using their information...

Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets | Amazon Web Services

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Financial organizations generate,...

Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models | Amazon Web...

Powered by Amazon Lex, the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. QnABot allows you to quickly deploy self-service conversational...

Enhance Amazon Lex with conversational FAQ features using LLMs | Amazon Web Services

Amazon Lex is a service that allows you to quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems...

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