Why LoRA Isn't Enough for Domain Pretraining
When adapting a large language model to a new domain, LoRA is usually the first tool researchers reach for. It is fast, memory-efficient, and works remarkably well for instruction fine-tuning. But ...
When adapting a large language model to a new domain, LoRA is usually the first tool researchers reach for. It is fast, memory-efficient, and works remarkably well for instruction fine-tuning. But ...
A structured roadmap for going from Python beginner to expert, organised by skill level. Basic Variables and data types Basic data structures: lists, tuples, sets, dictionaries Boolean con...
The Hugging Face transformers library provides a unified API for loading, running, and fine-tuning pretrained models. The basic pipeline looks like this: (Raw text) → Tokenizer (input ids) → Model...
The transformer architecture [1] introduced in 2017 has become the backbone of virtually every modern language model. But not all transformers are built the same way. Depending on how you wire the ...