Introduction to LLM applications in chatbots¶
Large Language Models (LLMs) have revolutionized various sectors by improving natural language processing (NLP) capabilities. This article explores the main applications of LLMs in chatbots and conversational AI, such as sentiment analysis, virtual assistants, content generation, text summarization, text classification and cybersecurity.
1 Introduction to LLM applications¶
Large Language Models (LLMs) have significantly impacted multiple fields by advancing the capabilities of natural language processing (NLP). These models excel in understanding, producing, and interacting with human language, which allows them to serve diverse purposes. Here are several key applications and use cases of LLMs in the realm of chatbots.
2. Main applications of LLMs¶
Sentiment analysis¶
LLMs can analyse text to determine sentiment, categorising it as positive, negative or neutral.
This is particularly useful in:
- Financial services: Analysing headlines to predict market trends.
- Customer service**: Understanding customer emotions to improve service quality[1].
Chatbots and virtual assistants¶
LLMs are widely used to develop chatbots and virtual assistants that can handle a variety of tasks:
- Customer service**: Provide 24/7 support, reduce waiting times and improve customer satisfaction.
- Personalised recommendations**: Analyse user behaviour to suggest products or services.
- Multilingual support**: Manage requests in several languages to serve a global audience.
- Automated data entry**: Streamline processes by automating the data entry process.