👋 I just made BERT smarter!

AI is already revolutionizing software development, but what if we could make it even smarter at understanding and debugging code? That’s exactly what I, Samay Deepak Ashar, set out to do—fine-tuning Google’s BERT to make it a code expert.

And guess what? The results are mind-blowing. 🚀

🔍 The Problem: AI Struggles with Code Interpretation

While large language models (LLMs) like ChatGPT are great at writing essays and answering general questions, they often stumble when it comes to understanding code logic, debugging errors, or answering technical queries.

💡 That’s because standard NLP models are trained primarily on human language, not the highly structured syntax of programming languages.

👉 Enter Samurai Labs' BERT 2.0—an AI that actually “gets” code.

🛠 How I Fine-Tuned Google’s BERT for Code Intelligence

I took Google’s BERT (bert-base-uncased) and custom-trained it using a carefully designed pipeline:

📌 Dataset: CodeSearchNet (Python) – a massive dataset tailored for code retrieval and understanding.

📌 Max Token Length: 256 (shorter than default BERT’s 512, optimized for efficiency).