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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning

Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens. To learn more about Arcee.ai, visit Arcee.ai

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How BrainPad fosters internal knowledge sharing with Amazon Kendra

AWS Machine Learning

API implementations, so we can eventually provide customized search pages to our employees to improve their experience. One of the initiatives we took with the launch of Amazon Kendra was to provide a chatbot. To implement this chatbot, we use Lambda, a service that allows us to run serverless, event-driven programs.

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

RELATED ARTICLE CRM Key Features For Customer Service Preparing for the Future: Advanced Technologies and Training Emerging technologies like artificial intelligence (AI) and chatbots are going to play a significant role in the collections industry.

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Customer Self-Service: How to Give Customers What They Want

JivoChat

Case studies : this type of self-customer service asset is significant for B2B industries weighing up their options. Companies making a large investment want to see a company’s track record providing tangible results with your product or service in a similar use case that might apply to their own business. Use chatbots.

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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

See the following case study to learn more about a real-world use case. Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications. It offers an easy-to-use API and Python SDK, balancing quality and affordability.

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Redefining the Future of Enterprise Contact Center Solutions

Balto

Evolution of Contact Centers in Enterprises Contact centers have been there since the 60s, but what started as a simple office model for handling inbound and outbound customer calls has evolved drastically over the years to include omnichannel support that covers email, social media, live chat, and more recently, AI chatbots.

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Contact Center Technologies 2017: find out what 23 experts say

RichCall

In the worst case, if they were not able to solve their issue, the portal can include a click to call button where they are transferred to an agent and they don’t have to repeat all their information in order to get assistance. Customers have begun to use, and in some cases even prefer, non-agented interactions. Lutz Remmers.