Relationship between AI, ML, Generative AI, and LLMs.
See how text splits into tokens and fills a context window.
Scaling trends and neural architecture preview.
How models focus on context to resolve meaning.
Vectors, similarity, and relationships.
Explore temperature, top‑p, and top‑k effects on output.
Prompting vs RAG vs Fine-tuning.
Try zero/few‑shot, CoT, and role prompting.
Compare models by cost, speed, and parameters.
Identify and mitigate hallucinations.
Understand bias types and mitigation strategies.
Step through multi‑step reasoning process.