Instead, I can to building a small-scale LLM from scratch (in the spirit of such a resource), covering the key concepts you'd likely find in a 2021-style tutorial. This will include:
Here is a pdf version of this :
We train LLaMA on a large corpus of text data using the following procedures: Build A Large Language Model -from Scratch- Pdf -2021
Our proposed model, LLaMA, is based on the transformer architecture, which consists of an encoder and a decoder. The encoder takes in a sequence of tokens and outputs a sequence of vectors, while the decoder generates a sequence of tokens based on the output vectors. Instead, I can to building a small-scale LLM