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Introduction to MinLlama
Short video describing the module's objectives and tasks
Take a hands-on look inside a modern transformer by implementing key components of a LLaMA-style architecture. Explore RoPE, RMSNorm, self-attention, transformer layers, optimization, classification, and how pretrained models can be used for generation, prompting, and fine-tuning.
This article is from the online course:
Large Language Models: Build, Fine-Tune and Deploy LLMs
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Large Language Models: Build, Fine-Tune and Deploy LLMs
