Amazon
From concept to reality: Navigating the Journey of RAG from proof of concept to production
In this post, we explore the movement of RAG applications from their proof of concept or minimal viable product (MVP) phase to full-fledged production systems. When transitioning a RAG application from a proof of concept to a production-ready system, optimization becomes crucial to make sure the solution is reliable, cost-effective, and high-performing. Source
Amazon
Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases
This post introduces a solution to reduce hallucinations in Large Language Models (LLMs) by implementing a verified semantic cache using Amazon Bedrock Knowledge Bases, which checks if user questions match curated and verified responses before generating new answers. The solution combines the flexibility of LLMs with reliable, verified answers to improve response accuracy, reduce latency,…
Amazon
Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock
This intelligent document processing solution uses Amazon Bedrock FMs to orchestrate a sophisticated workflow for handling multi-page healthcare documents with mixed content types. The solution uses the FM’s tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools…
Amazon
AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect
In this post, we discuss how AWS and DXC used Amazon Connect and other AWS AI services to deliver near real-time V2V translation capabilities. Source
Exploring The role of AI in developing autonomous military drones
Exploring How AI is transforming personal finance management apps
Exploring The impact of cookie-less advertising on PPC performance
Build a cold start time series forecasting engine using AutoGluon
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