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 ...

The basic setup involves the following steps (Raw data) —> Tokenizer (input ids) —> Model (logits) —> Post processing —> prediction Tokenizer Transformers can not process text input,...

Generic Transformer Models Encoder models : these models posses bidirectional attention, these are often referred as auto encoding models. The training is performed a perturbed (by masking word...

Following are some of the sources for open source data Popular open data repos OpenML.org Kaggle.com PapersWithCode.com UC Irvine Machine Learning Repository ...