Diffusion LLM Evaluation: Pipeline, Frameworks, and Prompting Pitfalls
A practical guide to evaluating diffusion LLMs, from sampler integration and extraction to framework selection and prompt hygiene.
Read more →SEED Interview Preparation: Ultimate Guide
A structured study guide covering LLMs, deep learning, classic ML, and algorithms for SEED interviews.
Read more →Review on Rick and Morty S02 E04
A review of the Rick and Morty episode S02 E04, discussing the themes of memory, relationships, and the nature of imperfection.
Read more →Intro to Triton with Matrix Multiplication
Introduction to GPU programming with Triton and build the matrix multiplication along the way
Read more →Quantization Aware Training Implementation Guide
Implementation details and best practices for Quantization Aware Training (QAT) with LoRA, including GPU memory optimization strategies
Read more →Quantization Strategy Report: Switchable and Cyclic Precision Training
Comprehensive report on quantization strategies including switchable precision and cyclic precision training applied to WikiText-103 dataset
Read more →VIP Progress Journal - SystemVerilog Learning
Weekly progress journal documenting my journey learning SystemVerilog, including module structures, always blocks, and FSM implementations
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