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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Lets assume that the question What date will AWS re:invent 2024 occur? The corresponding answer is also input as AWS re:Invent 2024 takes place on December 26, 2024. invoke_agent("What are the dates for reinvent 2024?", A: 'The AWS re:Invent conference was held from December 2-6 in 2024.' Query processing: a.

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Contact Center Trends 2024: Our Predictions

Fonolo

We live in an era of big data, AI, and automation, and the trends that matter in CX this year begin with the abilities – and pain points – ushered in by this technology. For example, big data makes things like hyper-personalized customer service possible, but it also puts enormous stress on data security.

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Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

AWS Machine Learning

The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language. Second, you might need to build text-to-SQL features for every database because data is often not stored in a single target. We use Anthropic Claude v2.1

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

Recent releases Extended support for more Amazon Bedrock capabilities was made available with the August 2024 release. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.

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Don’t jump the Gen AI gun to realise returns on AI investments

Connect

Amid this hype, Chief Technology Officers (CTOs) feel pressure to invest in Gen AI in some form, with a BCG survey of over 1,400+ C-suite executives revealing that 89% rank AI and Gen AI as a top-three tech priority for 2024. However, Gen AI is not a plug-and-play solution.

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A review of purpose-built accelerators for financial services

AWS Machine Learning

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). The union of advances in hardware and ML has led us to the current day.

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5 AI Trends Transforming the Future of Retail

CSM Magazine

billion in 2024 to USD 85.07 Predictive Analytics: AI can predict future customer needs and behaviours, allowing retailers to offer products and services that meet those needs proactively. AI-Driven Analytics AI-driven analytics enable retailers to predict customer needs and provide proactive support.