Archives
- 25 Dec Introduction to Mechanistic Interpretability, Superposition and Sparse Autoencoders
- 20 Dec Representation Engineering - I: Steering Language Models With Activation Engineering
- 19 Dec Building GPT-2 From Scratch: Mechanistic Interpretability View
- 19 Dec Visualizing Attention: See what an LLM sees.
- 18 Dec Supervised Finetuning in LLM training workflow
- 17 Dec From Words to Meaning: Implementing Word2Vec from Scratch
- 15 Nov Primer on Large Language Model (LLM) Inference Optimizations: 3. Model Architecture Optimizations
- 07 Nov Scaling Laws in Large Language Models
- 05 Nov Primer on Large Language Model (LLM) Inference Optimizations: 2. Introduction to Artificial Intelligence (AI) Accelerators
- 31 Oct Primer on Large Language Model (LLM) Inference Optimizations: 1. Background and Problem Formulation