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How to Use Generative AI and LLMs to Improve Search

TechEmpower Innovation

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. This presents businesses with an opportunity to enhance their search functionalities for both internal and external users.

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Accelerating Product Development with AI Tools

Leapfrogging

Artificial Intelligence (AI) is revolutionizing the way you manage innovation. By leveraging AI, you can streamline various aspects of the innovation process, from idea generation to product launch. For more on this, visit our article on AI for idea generation. Lead Successful Innovation Projects!

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Generative AI, ChatGPT and Large Language Models: A 101

Acuvate

The introduction of ChatGPT and other cutting-edge AI-led data analytics and visualization tools has sparked a lot of buzz in the tech world. The secret to these models’ success is Generative AI, which creates text that sounds remarkably human, enabling business users with data analytics outcomes that feels far more natural.

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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

AI technologies bring a new dimension of analytical capabilities and insights that were previously unattainable. By harnessing the power of AI, organizations are able to process vast amounts of data, identify patterns, and make more informed decisions at every phase of the innovation process.

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.

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Unlocking the Potential of Retrieval-Augmented Generation (RAG)

Acuvate

In the rapidly advancing field of artificial intelligence, Retrieval-Augmented Generation (RAG) stands out as a transformative approach. By merging external knowledge with Large Language Models (LLMs), RAG overcomes the limitations of static training datasets, resulting in more dynamic, accurate, and context-aware outputs.

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Embracing the Future: Fractional Executives and Generative AI

Tullio Siragusa

Embracing the Future: Fractional Executives and Generative AI The concept of fractional executives has emerged as a game-changer for companies of all sizes. The rise of Generative Artificial Intelligence (AI) has further empowered fractional executives, enabling them to produce full-time results in significantly less time.