Building a GPT from Scratch with yoctoGPT in PyTorch (3)

Applications and Production with yoctoGPT: Finance, Chat, and Deployment — Session 3 🔧 Take yoctoGPT from training to deployment — domain-specific finance training, an interactive chat REPL, and production guidance for GPU servers. In this final session of our free 3-part webinar series, Dr. Yves J. Hilpisch shows how to train a GPT model on a finance corpus, wrap it into a chat interface, and deploy beyond ephemeral Colab sessions. 📐 Topics in this session: • Notebook 4: finance token corpus with 18 texts and 2.83M tokens • Corpus preparation: formula dropping, BPE vocab 4000, EMA smoothing • Multi-GPU benchmarking: T4, L4, A100, and G4 (RTX PRO 6000 Blackwell) • Resume from best.pt with lower learning rate for fine-grained improvement • Interactive chat REPL with raw mode for base language models • Checkpoint management: warm start vs full resume, best.pt vs latest.pt • Avoiding overfitting: regularisation toolkit, LR schedules, early stopping • Metrics logging and reading training curves • GPU server deployment and production considerations ⚡ Measured results across Colab GPUs: • Finance token val loss: 4.22 (T4) → 3.67 (L4) → 3.28 (A100) → 3.28 (G4) • No early stopping on any GPU — the 2.83M-token corpus keeps all models learning • A100 and G4 produce identical results (same 8L/512d model); G4 is 20% faster • G4 names the Second Fundamental Theorem of Asset Pricing in generated text • T4 has best Char-KL (0.19) despite worst val loss — conservative output matches corpus style • Train/val gap scales with model size: 0.02 (T4) → 0.13 (L4) → 0.43 (A100/G4) 🔗 Resources: 📑 Slides: https://tpq.io/tpq_yoctogpt_3.pdf 📂 Notebook repo: https://github.com/yhilpisch/yoctoGPT 📊 TDS: https://thedatascientist.dev 📈 CPF: https://python-for-finance.com 🤖 TAE: https://theaiengineer.dev ₿ TCE: https://thecryptoengineer.dev 📌 Disclaimer: This content is provided solely for illustration and educational purposes. Training texts consist primarily of public-domain works. A small number of finance texts may still be subject to copyright; they are included for educational purposes only. No warranties or guarantees of any kind are given. Use at your own risk. #GPT #PyTorch #Transformer #Finance #LanguageModel #GoogleColab #AIEngineering #LLM #DeepLearning #yoctoGPT #ChatBot #Deployment #GPU #Benchmarking