I
LLM foundations
Transformers, tokenization, pretraining, instruction tuning, alignment basics, retrieval, agents, evaluation, and current model capabilities.
Education
Education
LLM and quant research less mysterious through guided learning.
Curriculum
Learn the fundamentals. Build taste.
Members do not need to arrive as experts. Prepare students to ask better questions, build better projects, and approach research with confidence.
II
Quant foundations
Probability, statistics, optimization, time series, market intuition, risk, and the mathematical thinking behind quantitative research.
III
Research practice
Paper reading, reproducibility, experiment logging, ablations, writing research notes, and communicating technical ideas clearly.
For new members
Come with curiosity, consistency, and a willingness to learn. The club is built for students who want to become stronger researchers and engineers, even if they are not sure yet which exact path they want to pursue.