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Introduction to Generative AI
Foundation models, LLM landscape, tokenization, context windows, temperature
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Generative AI vs Predictive AI
beginner~18minFundamental difference: controlled output vs probabilistic generation
What are Foundation Models / LLMs
beginner~18minDefinition, scale (billions of params), emergent abilities, GPT/Llama family
LLM Landscape: GPT, Llama, Mistral, Gemini, Grok, Qwen, Ollama
intermediate~28minOpen-source vs API-based, model sizes, key players, use case fit
Context Window Explained
intermediate~28minToken limit, what happens beyond limit, strategies
Tokenization Deep Dive
intermediate~28minBPE, WordPiece, how text becomes token IDs, why tokenizer choice matters
Temperature & Sampling Parameters
intermediate~28minTemperature, top-p, top-k — how they control randomness, when to adjust
Pre-trained vs Fine-tuned vs RAG Models
intermediate~28minDecision tree: when to use each, cost vs accuracy vs control tradeoffs
GenAI Ecosystem: APIs, Libraries, Frameworks
intermediate~28minOpenAI SDK, LangChain, LlamaIndex, Hugging Face, Ollama, xAI/Grok overview