1 Why tailoring LLM architectures matters

Large language models (LLMs) are trained on extensive text corpora spanning multiple languages and domains, resulting in models that can exceed hundreds of billions of parameters, even approaching a trillion. These models demonstrate broad capabilities across a wide range of tasks. These models can write poetry, analyze financial documents, generate code, or perform translations between different languages. This breadth of knowledge is the basis of their power, but also the source of their inefficiency when applied to specialized tasks. It consumes more time and resources than necessary.

1.1 Current challenges to scaling LLMs

1.2 The solution: the model rearchitecting pipeline

1.3 Toolkit and techniques

1.4 Your LLM rearchitecture roadmap

1.5 Summary