Remove Performance Remove Systems Review Remove Technical Support
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How IT leaders use agentic AI for business workflows

CIO

An AI briefer could inform a sales pipeline review process, for instance, or an AI trainer could simulate customer interactions as part of an onboarding program, he adds. Similarly, software provider Akamai is prioritizing agentic AI where processes are already highly matured and supported by high-quality data and security controls.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. For example, consider a text summarization AI assistant intended for academic research and literature review. Such queries could be effectively handled by a simple, lower-cost model.

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Ticket Management: What Makes a Good Ticketing System?

Kaseya

It is usually part of a company’s help desk and technical support system wherein internal employees, as well as external customers, in the case of Managed Service Providers (MSPs), can reach out to the company’s support team and submit requests for any IT issues they might be facing.

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Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP

John Snow Labs

However, other models, including LLMs, retain all six categories to ensure a comprehensive performance evaluation across all assertion types. By analyzing i2b2 data, we optimized a context window of 9 tokens left, 15 right , balancing performance and efficiency. Applies a majority voting mechanism to resolve prediction conflicts.

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“Zen” and “Fresh” Way for Technical Support

Xoriant

My previous blog post highlighted the role of technical support in software development. This blog post is to compare two CRM tools that will help you in achieving your goal of providing great technical support experience. A good CRM tool is necessary today for providing efficient technical support.

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Information extraction with LLMs using Amazon SageMaker JumpStart

AWS Machine Learning - AI

With SageMaker JumpStart, you can evaluate, compare, and select FMs quickly based on predefined quality and responsibility metrics to perform tasks like article summarization and image generation. This is often achieved through the inclusion of human review, because no automated approach is entirely foolproof. max_tokens=512, top_p=0.9,

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10 most in-demand generative AI skills

CIO

Relevant job roles include machine learning engineer, deep learning engineer, AI research scientist, NLP engineer, data scientists and analysts, AI product manager, AI consultant, AI systems architect, AI ethics and compliance analyst, among others.