Artificial Inteligence Generative AI Innovation 
TechEmpower Innovation
OCTOBER 9, 2023
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
TechEmpower Innovation
NOVEMBER 13, 2023
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. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.
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Leapfrogging
MARCH 19, 2024
The Evolution of Innovation Management Innovation management has undergone significant transformation over the years. Traditional Phases and Gates Processes Traditionally, the phases and gates model has been a cornerstone in structuring innovation management.
Acuvate
APRIL 3, 2023
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.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
Ecosystems4Innovating
FEBRUARY 14, 2025
Gen AI will be the innovation game-changer Everywhere you turn it seems to be all about Gen AI and how it will change the world. So where does innovation fit within this? I have read different views but most seem to be simply dressing their existing tools and methods in the those brighter new clothes of Gen AI appeal.
Acuvate
MARCH 2, 2025
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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