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Exploring the pros and cons of cloud-based large language models

CIO

The paradigm shift towards the cloud has dominated the technology landscape, providing organizations with stronger connectivity, efficiency, and scalability. In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks.

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6 key considerations for selecting an AI systems vendor

CIO

Many IT leaders are responding to C-suite pressure for artificial intelligence (AI) capabilities by increasing the organization’s AI investment in 2024. Consider capacity, speed, and scalability. To learn more, visit [link] Artificial Intelligence But it can simplify achieving your AI goals.

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How intelligent document processing automates content-intensive processes

CIO

Intelligent document processing (IDP) is changing the dynamic of a longstanding enterprise content management problem: dealing with unstructured content. Faster and more accurate processing with IDP IDP systems, which use artificial intelligence technology such as large language models and natural language processing, change the equation.

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Generative AI in enterprises: LLM orchestration holds the key to success

CIO

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. We think this is a mistake, as the success of GenAI projects will depend in large part on smart choices around this layer.

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AI, Cybersecurity and the Rise of Large Language Models

Palo Alto Networks

Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. A large language model (LLM) is a state-of-the-art AI system, capable of understanding and generating human-like text.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO

For successful AI deployments, IT leaders not only need the latest GPU/CPU silicon, they also need artificial intelligence (AI) servers that establish a foundation. Advanced cooling options Liquid cooling has become the energy-efficient, scalable solution to AI systems’ high heat output.

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Inferencing holds the clues to AI puzzles

CIO

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images.