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LLM Whiteboard
Sessions

Deep-dive technical sessions where researchers and practitioners unpack the core concepts behind modern language models — from attention mechanisms to RLHF, scaling laws, MoE, and beyond.

Next Session — Mar 14: Understanding RLHF: From Reward Models to Policy Optimization

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Upcoming
14
Mar

Understanding RLHF: From Reward Models to Policy Optimization

A whiteboard walkthrough of reinforcement learning from human feedback — the technique behind ChatGPT and modern aligned LLMs

R
Research Talk · 90 min · Free Registration
Upcoming
Past Sessions
28
Feb

Benchmark Design: What Makes a Good LLM Evaluation?

Exploring pitfalls of data contamination, overfitting, and metric selection in modern benchmarks

B
Lecture · 75 min · Recording Available
Recording
15
Feb

Scaling Laws & Emergent Behaviors in Large Language Models

Why bigger isn't always better — and when emergence actually happens in neural networks

S
Lecture · 80 min · Recording Available
Recording
01
Feb

Mixture of Experts: Architecture, Trade-offs & Real-world Use

A close look at sparse MoE models — how routing works, and why it matters for efficiency

M
Lecture · 70 min · Recording Available
Recording
18
Jan

Chain-of-Thought Prompting: Why & When It Works

Dissecting the mechanics of CoT and its relationship with model scale and task structure

C
Lecture · 65 min · Recording Available
Recording
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