I Made a Small LLM That Actually Responds
I fine-tuned GPT-2 locally using Python, PyTorch, Hugging Face Transformers, and Datasets. No hosted API. No agent framework. Just the actual workflow: download the base model, prepare a text corpus, tokenize it, run a short fine-tune, save the checkpoint, and generate text from the result. This is a small model and a small experiment, but it shows the real moving parts behind local LLM fine-tuning.
![Yann LeCun's $1B Bet Against LLMs [Part 1]](https://i.ytimg.com/vi/kYkIdXwW2AE/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDbV4izF3i-wxevCVIn7FJjoy1vlA)
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