
Evolution and core principles of LLMs like Gemini and GPT. Understand the "brain" behind the AI.
Evolution from rule-based systems to deep learning and transformers.
How AI "focuses" on important parts of your input.
Understanding how AI calculates and predicts the next word.
Analyze a model output to find factual errors or biases.
A fact-checking report showing how models can "hallucinate".