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Artificial intelligence expert and scientist Dr Panashe Chiurunge, recently presented a compelling overview of the rise of AI agents at the Cyber Fraud Summit held recently in Nyanga.
According to Dr. Chiurunge, AI agents have undergone significant transformations, evolving from static models to more advanced forms of intelligence, the progression of AI agents can be categorized into five distinct stages, each representing a notable advancement in AI capabilities.
These stages include:
1. Static Models: The earliest form of AI agents, characterized by pre-programmed rules and limited adaptability.
2. Basic Adaptation: AI agents that can adjust to new situations through simple learning mechanisms.
3. Enhanced Learning: AI agents capable of more complex learning, enabling them to improve their performance over time.
4. Continuous Learning: AI agents that can learn from ongoing experiences, adapting to changing environments and circumstances.
5. Persistent Agent: The most advanced form of AI agents, characterized by their ability to maintain a persistent presence, learn from experiences, and adapt to new situations.
Dr. Chirume’s presentation highlighted the significant advancements in AI agent technology, particularly in the areas of machine learning and deep learning. These advancements have enabled AI agents to become more sophisticated, capable of learning from complex data sets, and adapting to new situations.
The implications of these advancements are far-reaching, with potential applications in various industries, including cybersecurity, finance, and healthcare. As AI agents continue to evolve, they are likely to play an increasingly important role in shaping the future of technology and transforming the way we live and work.
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