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Many of the most promising applications of AI are emerging in areas of machine learning that have little to do with LLMs. Adapted with permission from TRANSCEND by Faisal Hoque (Post Hill Press, Hardcover, April 8, 2025). Copyright 2025, Faisal Hoque, All rights reserved. Copyright 2025, Faisal Hoque, All rights reserved.
For a recent Innov8rs Learning Labs session, Rachel Gordon - Founder at Triple Agent, was joined by Jan Beranek, CEO and Founder at U+ Digital Ventures; Stefan Rass, Senior Analyst at Rohrbeck Heger; and Christian Mühlroth, CEO at Itonics - to cut through the hype and share their perspectives on this transformative technology.
Large language models, such as ChatGPT 4, Claude, and Gemini, have already begun to replace human workers in many industries. Machine learning algorithms are powering new advances in our healthcare system at the same time as they risk entrenching old biases. We cannot afford to remain complacent about this paradigm-breaking technology.
As we step into 2025, a new paradigm is emerging in software development: the era of the LLM-native developer. With AI copilots, newcomers can swiftly climb the learning curve, transforming into power users in hours instead of months. This transformation isnt about replacing developers with AI but redefining their roles.
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