The AI Evolution: From Chatbots to Cultivating the Future

Acknowledgement: Lesson is derived from the transcript of video/s created by Charles Sturt University/Organization
Learning Objectives
  1. Understand the hierarchy and evolution of Artificial Intelligence, including Machine Learning and Generative AI.
  2. Explain the fundamental mechanism of Generative AI as a predictive text model using large datasets.
  3. Identify current real-world applications of AI in industries such as tourism, cinema, and inclusive education.
  4. Analyze the role of AgriTech in solving labor shortages and optimizing Australian farming practices.
  5. Evaluate futuristic concepts of AI, such as bio-communication with plants and disease prediction.
Key Topics

Understanding Generative AI: The Giant Bucket of Data

Artificial Intelligence is not a single technology but a body of knowledge that has evolved over 70 years. It begins with the broad concept of machines acting like humans, narrowing down to Machine Learning, Deep Learning, and finally, Generative AI. Unlike traditional AI, which required specific training data to do one task well (like distinguishing a chihuahua from a muffin), Generative AI utilizes a 'giant bucket of data.' It creates content—text, images, or code—by predicting the 'next best guess' based on patterns it has learned. For example, if given the phrase 'The cat sat on the...', the system predicts 'Mat' based on probability, enabling it to be flexible and perform multiple tasks like writing poetry or analyzing scientific papers.

Further Inquiry

Explore Australia's national strategy and scientific research into the development and responsible use of Artificial Intelligence.

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  • "Artificial Intelligence Roadmap Australia"
  • "Generative AI opportunities"
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