Salesforce AI Specialist Practice Exam

What tasks can Large Language Models (LLMs) perform in natural language processing?

1. Text generation and sentiment analysis

2. Image recognition

3. Data visualization

4. Database management

The correct answer is: Text generation and sentiment analysis

Large Language Models (LLMs) are designed primarily for tasks that involve understanding and generating human language. They excel in text generation, where they can create coherent and contextually relevant text based on input prompts. LLMs can generate anything from simple sentences to complex articles while adhering to grammatical norms and maintaining thematic coherence. In addition to text generation, LLMs are proficient in sentiment analysis, which involves interpreting the emotions or attitudes conveyed in a piece of text. This allows them to assess whether a given text has a positive, negative, or neutral sentiment, making them invaluable in applications like customer feedback analysis, social media monitoring, and more. The other options, such as image recognition, data visualization, and database management, fall outside the primary capabilities of LLMs. Image recognition involves identifying objects within images, which is typically handled by computer vision models, not language models. Data visualization requires representing data graphically, while database management pertains to organizing and maintaining database systems, neither of which directly involves natural language processing. Thus, LLMs specialize in tasks related to text, making the first choice the most accurate regarding their capabilities.