GPU-Accelerated Computing with Python 3 and CUDA

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Implementing Your Own Transformer-Based Language Model

In the previous chapter, we demonstrated how GPU-accelerated computing can be used for molecular simulations. Now, let's shift our focus to a more tangible topic: generating human-like text using a Large Language Model (LLM). In this chapter, we will build our own language model using JAX to explore how this technology works. We will make a small Generative Pretrained Transformer (GPT) model for text generation tasks and train it on a lightweight example dataset. Along the way, we will cover topics such as attention mechanisms, transformer architecture, embeddings, tokenization, and autoregressive text generation step by step. The principles and techniques learned through these exercises ...