Remove Big data Remove Chatbots Remove Engineering
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How to Leverage Chatbots for Streamlined Recruitment Efforts

Inbenta

More specifically, have you thought about using an AI-powered chatbot as part of your hiring process? You may already be increasing sales with chatbots , by using them to talk to customers. In case you aren’t aware, a chatbot is a piece of software that uses AI to mimic human conversation. Use chatbots to respond.

Chatbots 144
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How Amazon Finance Automation built a generative AI Q&A chat assistant using Amazon Bedrock

AWS Machine Learning

Validation engine – Removes PII from the response and checks whether the generated answer aligns with the retrieved context. However, manually evaluating the RAG isn’t sustainable—it requires hours of effort from finance operations and engineering teams. We engineered prompts that encouraged the LLM to be more comprehensive.

Finance 68
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Top 5 Customer Service & CX Articles for Week of April 29, 2024

ShepHyken

Years ago, the term “Big Data” became popular. I came up with the concept of “Micro Data,” which is about very personalized information about a smaller set of customers. From chatbots and voice assistants to recommendation engines, brands are integrating AI wherever they can, and for good reason.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. The following diagram illustrates a basic Text2SQL flow.

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Search enterprise data assets using LLMs backed by knowledge graphs

AWS Machine Learning

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries.

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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning

Through Amazon Bedrock, DPG Media selected the Anthropic Claude 3 Sonnet model based on internal testing, and the Hugging Face LMSYS Chatbot Arena Leaderboard for its reasoning and Dutch language performance. About the Authors Lucas Desard is GenAI Engineer at DPG Media.

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

Connect

It is costly and complex to build out Gen AI capabilities as creating the modelling needed to derive insights from AI engines is intensive, requiring scarce and expensive resources like data scientists and other technical experts. As such, the journey to Gen AI requires careful planning and implementation.