Anni Huang

@HuangAnni

LLM Training Operation Specialist @ ByteDance | Ex-Master of IT in Business (AI track) at SMU

SingaporeJoined July 2022

About

I’m Anni Huang, an AI researcher-in-training currently at ByteDance, specializing in LLM training operations with a coding focus. I bridge the gap between engineering execution and model performance, ensuring the quality, reliability, and timely delivery of large-scale training projects.

Available for

I’m open to collaboration in algorithm contests, academic research(RLHF), and AI innovation projects. My long-term goal is to drive impactful AI products—whether through research breakthroughs or vision-driven product management.

Anni Huang's blogs

HuangAnni's Bloghuanganni.hashnode.dev112 posts

Recently published

huanganni.hashnode.dev

LLM for Coding Benchmarks and Datasets

Benchmark/DatasetYear CreatedInstitutionTime SpanDataset SizeData FormatLLM Testing Capability LiveCodeBench2024UC San Diego, Microsoft Research2024-ongoing (continuously updated)Several hundred problemsProgramming contest problems with test cases...

Aug 14, 20251 min read

huanganni.hashnode.dev

How to change a base model to a reasoning model?

Turning a base model into a reasoning model is essentially a post-training + data problem. The model’s architecture can stay the same — what changes is how it’s fine-tuned, what data it sees, and what training objectives you use. Here’s the typical p...

Aug 14, 20252 min read

huanganni.hashnode.dev

DeepSeek GRPO Explanation (Why we need it? How does it work? What are the findings?)

GRPO: Efficient RLHF via Relative Policy Optimization (Firstly introduced by DeepSeekMath, reference) Why GRPO? Problem with PPO: Slow, memory-intensive, and prone to reward overfitting in large-scale RLHF. GRPO’s Advantage: A compute-efficient ...

Aug 13, 20252 min read

huanganni.hashnode.dev

Beyond Pre-training: The Power of RLHF in LLM Alignment

Pre-training uses massive datasets and computational resources—often thousands of GPUs running for weeks or months—making it a domain dominated by top AI companies. Post-training is much lighter in cost and time (often days instead of months) and foc...

Aug 13, 20252 min read

huanganni.hashnode.dev

LeetCode Daily Challenge-3477. Fruits Into Baskets II(Easy, O(n²))

Problem Statement You are given two arrays fruits and baskets of equal length n. Place fruits into baskets following these rules: Each fruit type must be placed in the leftmost available basket with sufficient capacity Each basket holds only one typ...

Aug 5, 20254 min read

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Anni Huang

About

Available for

Anni Huang's blogs

Recently published

LLM for Coding Benchmarks and Datasets

How to change a base model to a reasoning model?

DeepSeek GRPO Explanation (Why we need it? How does it work? What are the findings?)

Beyond Pre-training: The Power of RLHF in LLM Alignment

LeetCode Daily Challenge-3477. Fruits Into Baskets II(Easy, O(n²))