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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning

These models can be used for question answering, summarization, translation, and more in applications such as conversational agents for customer support, content creation for marketing, and coding assistants. He holds a PhD in Electrical Engineering from Northwestern University. He founded StylingAI Inc.,

Scripts 93
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2021: Emerging AI trends in the telecom industry

TechSee

This data is culled from devices, networks, mobile applications, geolocations, detailed customer profiles, services usage and billing data. Using AI, telecoms can implement self-service capabilities that instruct customers how to install and operate their own devices.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs

AWS Machine Learning

The most common applications of sentiment analysis include social media monitoring, customer support management, and analyzing customer feedback. In this ML example, we must perform several tasks: Perform feature engineering to prepare this dataset in a format our model can understand.

APIs 79
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These 8 Technologies Are Transforming the Contact Center

DMG Consulting

Companies are striving to understand customer needs, engage Millennial customers and employees, increase the use of self-service tools, improve service quality while reducing costs, simplify operating environments, and reduce fraud, and they’re looking to vendors for help. Customer journey analytics.

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5 CX Myths That Can Destroy Brand Reputation

Tenfold - Contact Center Blog

Big Data and CX. The Myth: In order to improve customer experience, you have to invest in big data processing. You’ve probably already heard quite a lot about big data. That is why most companies hire specialized big data engineers who are able to go through it and obtain useful information.

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Technology Based Solutions to Enhance Customer Retention Strategies

TechSee

For years, solutions have focused on training customer service personnel, and adjusting company policies and guidelines, as proactive efforts to retain customers who are considering making a transition.