Machine Teaching: How AI Agents Learn New Tricks

Discover the four decision-making paradigms that make agents useful in business by Andreas Welsch’s featured article.

On June 11, Kence Anderson (Founder & Machine Teaching Expert) joined me on “What’s the BUZZ?” and shared how AI agents acquire knowledge about new things in a world that keeps constantly evolving. Don’t Generative AI and LLM already contain all the relevant knowledge? Here is what we’ve talked about…

The Essence of Machine Teaching

Machine Learning has been a buzzword for years, but the latest frontier is Machine Teaching. Machine learning involves systems learning from data to identify patterns and make predictions. But if machines can learn, they can and should be taught. Teaching is about breaking down tasks into manageable chunks and guiding the learning process to ensure efficiency and effectiveness.

Teaching in AI is akin to training in sports or music. Expert teachers break down complex tasks into smaller, practiceable skills. This approach ensures that AI systems learn efficiently, focusing on promising areas rather than wasting resources on less productive ones. By drawing on human analogies, machine teaching makes AI systems more robust and adaptable.

Moreover, addressing objections to this approach, it’s emphasized that drawing boundaries around what AI learns doesn’t limit its potential. Just as humans benefit from structured learning environments, so do machines. Teaching, therefore, is about enhancing AI’s capability to perform high-value tasks by leveraging structured guidance and expertise.

The Role of Intelligent Agents

Intelligent agents are a step beyond basic AI models. Defined as systems that can perceive their environment, make decisions, and act upon those decisions, agents are integral to the next generation of modern AI applications. Unlike simple predictive models, agents engage in complex decision-making processes, making them invaluable in high-stakes environments.[…]

Der Beitrag Machine Teaching: How AI Agents Learn New Tricks erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.