Friday, May 16, 2025

Lecture 17 (15/5/2025, 2h): homework 2 presentation

 Homework 2 presentation

Lecture 16 (8/5/2025): Reinforcement learning for NLP

 Reinforcement learning for NLP.

Lecture 15 (8/5/2025, 3h, L+R): Instruction tuning for LLMs, KV cache

Instruction tuning for LLMs, KV cache.

Lecture 14 (2/5/2025, 3h): Introduction to the Transformer (3): tokenization, decoding, LLMs

Introduction to the Transformer (3): tokenization, decoding, Large Language Models.


Lecture 13 (24/04/2025, 2h): Introduction to the Transformer (2), more on the encoder; Q&A for homework 1

More on the encoder, positional embeddings. Q&A for homework 1.

Lecture 12 (11/04/2025, 3h): Introduction to the Transformer (1), Transformer hands-on

Introduction to the Transformer architecture. Encoder, decoder. Self-attention. Cross-attention. Transformer hands-on.

Lecture 11 (10/04/2025, 2h): the Attention mechanism

Contextualized word representations. Introduction to the attention mechanism.