Learn Before
Controlled text generation using PLMs
Most methods use the AR and Seq2seq models as a basis, guiding them to generate the desired task. CTG tasks always treat the PLM as a conditional generation model and its formulation is
0
1
Tags
Deep Learning (in Machine learning)
Data Science
Related
Controlled text generation using PLMs
Representative Transformer-based PLMs
Analysis of Language Model Training Strategies
A startup is developing a system to classify medical research abstracts into different fields of study (e.g., cardiology, oncology, neurology). They have a limited dataset of 10,000 labeled abstracts. Which of the following statements best justifies the decision to use a large, pre-trained language model and fine-tune it, rather than training a new model from scratch on their dataset?
A development team is building a system to classify news articles into categories like 'Sports', 'Technology', and 'Politics'. They are using a modern approach that starts with a large, general-purpose language model. Arrange the following stages of their development process into the correct chronological order.
Traditional Role of Language Models
LLMs as Complete Systems in Generative AI