How does a "language model" assist in the functionality of NLP?
- It extracts named entities from a text.
- It identifies the sentiment of a text.
- It provides a statistical model for understanding grammar and sentence structure.
- It translates text from one language to another.
A "language model" assists in NLP by providing a statistical framework for understanding the grammar, sentence structure, and context of a given text. Language models, like BERT or GPT-3, enable tasks like text generation, sentiment analysis, and language understanding.
Loading...
Related Quiz
- In a scenario where an AI deployed in financial trading starts making highly risky trades due to a data anomaly, how would you design a system to prevent this in the future while maintaining the ability to capitalize on legitimate opportunities?
- In NLP, what is the challenge of resolving "coreference"?
- What could be the potential challenges of implementing blockchain and AI in financial transactions?
- A pharmaceutical company wants to implement AI to accelerate drug discovery. What critical factors should be considered to ensure the AI model effectively identifies potential drug candidates?
- If an AI system designed for customer support begins to show a decline in performance due to increased user traffic, how would you mitigate the challenges related to scalability and maintain service quality?