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

AWS Machine Learning

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.

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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

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

Scripts 103
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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

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Generative AI, LLMs and AI Assistants: A Deep Dive into Customer Experience Technology

COPC

Crafting LLM AI Assistants: Roles, Process and Timelines Using the latest AI may seem as easy as developers using APIs in commercial LLM options like OpenAI. But it’s much more than enlisting engineers to call LLM APIs. LLM interactions differ from prior generations of chatbots, which required scripted interactions.

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Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning

An application using the RAG approach retrieves information most relevant to the user’s request from the enterprise knowledge base or content, bundles it as context along with the user’s request as a prompt, and then sends it to the LLM to get a response. script to preprocess and index the provided demo data.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

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 via a single API. Knowledge base responses come with source citations to improve transparency and minimize hallucinations.

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The ChatGPT Revolution

The Northridge Group

To get a handle on ChatGPT, its implications, benefits, challenges, and best practices for contact centers we had a virtual conversation recently with Nathan Hart, Senior Director of Technology, Solutioning & Data Analytics, The Northridge Group. and most recently (at presstime) GPT-4. But ChatGPT can do much more than just reply.