Language Models and AI

Advantages of Foundation Models

• A) They eliminate the need for data in machine learning.

• B) They can be quickly trained from scratch for any task.

• C) They provide versatile, high-performing base models that can be fine-tuned for a range of applications.

• • D) They guarantee 100% accuracy in all tasks.

Full Form of GPT

• Generalized Processing Technology

• Global Predictive Text

• Generative Pre-trained Transformer

• Guided Pathway Training

Full Form of BERT

• Bidirectional Encoder Representations from Transformers

• Binary Encoding and Retrieval Technique

• Balanced Elastic Routing Transfer

• Binary Expert Resolution Tree

What is a key characteristic of foundation models in the context of large language models (LLMs)?

• They require minimal computational resources.

• They are specialized for a single task.

• They provide a base model that can be adapted for various tasks.

• They are only effective for language translation tasks.

Full Form of T5

• Text-to-Text Transfer Transformer

• Transformative Text Technology

• Top 5 Transformer Technology

• Textual Transformation Technique

What are the key benefits of using large language models (LLMs) like GPT-3?

• A) They require minimal fine-tuning for specific tasks.

• B) They are limited to a narrow range of applications.

• C) They provide a strong foundation for various natural language understanding tasks.

• D) They guarantee 100% accuracy in all language processing tasks.