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2024-12-02
The Next Big Wave: Andrew Ng on Agentic Reasoning for AI
Matthew McCann
December 01, 2024
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The Next Big Wave: Andrew Ng on Agentic Reasoning for AI
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The Next Big Wave: Andrew Ng on Agentic Reasoning for AI
The Essence of Agentic Reasoning
Agentic reasoning in AI refers to systems that can autonomously perform and refine tasks, much like a human would. Ng compares this evolution to the impact of electricity, highlighting its pervasive potential across industries. By employing iterative tasks such as planning, testing, and revisions, these AI agents can enhance productivity and efficiency. This capability is particularly crucial as it allows AI to adapt and improve without constant human intervention, thereby streamlining processes and reducing overhead costs.
Transformative Potential in AI Workflows
Ng's vision for agentic workflows is rooted in their ability to autonomously draft, research, revise, and enhance work. This mirrors human-like efficiency and adaptability, which is a significant departure from the static, rule-based systems of the past [NextBrain, 2024]. For software engineers, this means developing applications that can dynamically adjust to new data inputs and user interactions, significantly reducing the time from concept to deployment. Moreover, the integration of generative AI within these workflows accelerates the development of machine learning models, offering a competitive edge in a fast-paced technological landscape [Chaindesk, 2024].
Practical Applications and Future Prospects
In conclusion, Andrew Ng's advocacy for agentic reasoning in AI underscores a shift towards more autonomous, efficient, and adaptable AI systems. For practitioners in the field, embracing this paradigm means staying ahead of the curve, leveraging AI's full potential to innovate and optimize workflows. As AI continues to evolve, those who harness the power of agentic reasoning will likely lead the charge in the next wave of technological advancement.
Author notes
Andrew Ng has a rich history with technology (Arduino, Coursera, Landing AI and much more)
Check out one of his free courses here: building-an-ai-powered-game
Watch keynote speech here: BUILD 2024 Keynote
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