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Recommend an open-source free tutorial 'Hands-On Large Models', covering 12 chapters including language model basics, prompt engineering, semantic search, model fine-tuning, multimodal applications, etc. All code can be run directly in Colab.
A user demonstrates using OpenAI's Codex to automatically generate a Colab notebook that trains a ~10 million parameter transformer in JAX/Flax/Optax on addition, achieving high accuracy after 4000 steps on a T4 GPU.
The tweet announces that users can now fine-tune Google's Gemma 4 model for free in the browser using the Unsloth Colab notebook, significantly lowering the barrier to entry for model customization.