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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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Generative AI – The End of Empty Textboxes

TechEmpower Innovation

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. That blurb, and the following examples, were all generated from GPT in only a few seconds, at a cost of less than one penny.

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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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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.

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How Generative AI Will Transform Knowledge Work

Harvard Business Review

Generative AI can be a boon for knowledge work, but only if you use it in the right way. New generative AI-enabled tools are rapidly emerging to assist and transform knowledge work in industries ranging from education and finance to law and medicine. However, there is no need to wait for these externally-imposed changes.

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Has Generative AI Peaked?

Harvard Business Review

This calls for a rethink of the incentives and economics surrounding human-generated content. The real bottleneck in generative AI might not be computation capacity or model parameters, but our unique human touch. Yet, we are on the brink of a digital world that is increasingly filled with AI-generated clutter.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

However, with the advent of artificial intelligence in innovation management , these stages and gates are being reimagined. AI technologies offer unprecedented capabilities in data analysis, pattern recognition, and predictive modeling, which can significantly enhance the efficacy of the Stages and Gates process.