Tips of using AI:

• Clearly articulate your thought process when utilizing AI.
• Systematically utilize AI by employing packages with simple setups for rapid testing.
• Upload a package to parse data and identify its methods and attributes.
• Precisely communicate your requirements to AI and request it to generate a more concise and efficient version.
• Write code snippets to gain a better understanding of complex concepts, such as Hidden Markov Models (HMM).
• Quickly jot down ideas or concepts and then refine them for clarity.
• Request AI to provide outputs in LaTeX or Markdown format for enhanced readability and organization.
• Engage with AI by assuming different roles and providing relevant examples to enhance comprehension.

Limitations:

• AI excels in aiding the learning process, particularly in tasks like regression analysis. However, it falls short when compared to a knowledgeable human instructor who possesses a deep understanding of the subject matter.
• While AI can process vast amounts of data and assist in interpreting concepts, it lacks the ability to generate genuine insight. For instance, concepts like Fourier transformation, which involve abstract functions as vectors transitioning from Euclidean space to Hilbert space, require human intuition beyond AI’s capabilities. Similarly, complex theories like Einstein’s connection of gravity to space-time curvature go beyond AI’s capacity to provide.