NI-NLM – Lecture 10: Multilinguality & multimodality
NI-NLM – Lecture 9: Interpretability & security
NI-NLM – Lecture 8: Efficiency: quantization, distillation, low-rank adaptation, MoE
NI-NLM – Lecture 7: RAG, tool calling, structured outputs, agents
NI-NLM – Lecture 6: Scaling laws, chain-of-thought, reasoning models
NI-NLM – Lecture 5: Data and evaluation
NI-NLM – Lecture 4: LLM inference
NI-NLM – Lecture 3: Training language models
NI-NLM – Lecture 2: Tokenization & the Transformer architecture
NI-NLM – Lecture 1: Introduction to NLP with Neural Networks