Engaging Science Tutor using interactive tools for immersive learning experiences and conceptual understanding.

The Tutor introduced Large Language Models (LLMs) and their transformer-based architecture, explaining the evolution from traditional NLP to transformer models with attention mechanisms. They demonstrated how to interact with LLMs using a platform like Groq, covering API usage, prompts, and parameters, and discussed challenges like hallucinations and solutions like RAG for industry-specific applications.

The class covered fundamental electrical circuit concepts, including Ohm's Law, series and parallel resistor combinations, and circuit problem-solving techniques. The student practiced calculating current, voltage, and resistance in various circuit configurations. Future sessions will explore capacitors, inductors, and advanced circuit analysis laws.

The Student and Tutor conducted an introductory session on basic electrical circuits and the fundamental concept of resistance. They practiced calculating equivalent resistance in both series and parallel configurations, including a combination circuit example. The future curriculum for the Student's electrical technology course, focusing on Ohm's law, Kirchhoff's laws, and AC circuits, was also discussed.

The Student and Tutor commenced a new focus on digital systems, moving away from programming. They reviewed digital system concepts, including number systems and detailed explanations of various logic gates (AND, OR, NOT, NAND, NOR, XOR, XNOR). The session involved the Student practicing deriving and simplifying Boolean equations from circuit diagrams, and the Tutor reviewed fundamental Boolean algebra laws. The Student will practice more circuit and equation reduction problems for homework, and the Tutor requested a past paper for tailored future sessions.

Student and Tutor reviewed various supervised machine learning models, including logistic regression, decision trees, and SVMs. The Tutor then introduced deep learning, covering the fundamentals of neural networks, different architectures like CNNs and LSTMs, and the evolution to Large Language Models (LLMs) and Agentic AI. They explored tools like Groq and Flowise for building and testing AI agents, and the Tutor committed to sharing reference materials for further study on deep learning and agents.

The Student and Tutor reviewed and practiced problems related to RC circuits, focusing on discharging calculations for capacitance, charge, and current over time. The Tutor then introduced the fundamental concepts of RL circuits in a DC context, highlighting the time constant and distinguishing them from AC applications. The next session is planned to cover AC RL, RC, and RLC circuits, including phasor diagrams.