Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

TutoSartup excerpt from this article:
The integration of Amazon Lex with Talkdesk cloud contact center is inspired by WaFd Bank (WaFd)’s digital innovation journey to enhance customer experience... In our previous post, we described how Amazon Lex integrates with the Talkdesk cloud contact center for the voice channel... Prerequisites To implement the solution presented in this post, you should first familiarize yourself with th...

How to use Amazon GameLift FlexMatch to implement block and avoid lists

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Amazon GameLift FlexMatch is a matchmaking service that allows you to create custom rules for matchmaking and fine-tune the matchmaking algorithm... Benefits of Amazon GameLift FlexMatch FlexMatch is a scalable matchmaking service that you can use as a standalone solution or as a fully integrated feature with Amazon GameLift managed hosting... The robust rules language lets you customize ...

How to use Amazon GameLift FlexMatch to implement block and avoid lists

TutoSartup excerpt from this article:
Amazon GameLift FlexMatch is a matchmaking service that allows you to create custom rules for matchmaking and fine-tune the matchmaking algorithm... Benefits of Amazon GameLift FlexMatch FlexMatch is a scalable matchmaking service that you can use as a standalone solution or as a fully integrated feature with Amazon GameLift managed hosting... The robust rules language lets you customize ...

Advanced RAG patterns on Amazon SageMaker

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If you’re implementing complex RAG applications into your daily tasks, you may encounter common challenges with your RAG systems such as inaccurate retrieval, increasing size and complexity of documents, and overflow of context, which can significantly impact the quality and reliability of generated answers... This post discusses RAG patterns to improve response accuracy using LangChain and to...

Efficient continual pre-training LLMs for financial domains

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Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic... For example, Meta’s Llama models are trained on datasets such as CommonCrawl, C4, Wikipedia, and ArXiv... Although the resulting models yield amazingly good results for general tasks, such as text generation and entity recognition, there is evidence that models trained with domain-...

Announcing new tools in Azure AI to help you build more secure and trustworthy generative AI applications

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Prompt injection attacks have emerged as a significant challenge, where malicious actors try to manipulate an AI system into doing something outside its intended purpose, such as producing harmful content or exfiltrating confidential data...Safety evaluations to assess an application’s vulnerability to jailbreak attacks and to generating content risks, now available in preview...  ...

Eggs-iting For The Easter Holiday

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The Capital Spectator is on hiatus over the next several days (with the exception of a new Book Bits column on Saturday, March 30). The usual routine resumes on Monday, April. 1. Meanwhile, have an eggs-tra special holiday......