Home > Whitepapers > The Next-Gen Chatbot System Powered by Large Language Models
The Next-Gen LLM Chatbot System Powered by Large Language Models
Explore the process for constructing and fine-tuning a dependable and compliant LLM chatbot for document processing, user assistance, customer support, and other tasks.
From this whitepaper you’ll learn
- Application of LLMs in chatbots
- How are LLM chatbots created: system mechanisms
- Data compatibility and processing basics
- How LLM testing framework can be used
- LLM chatbot business applications
Learn how are LLM chatbots are created
LLM chatbots are created by combining large language models (LLMs) with semantic search engines, ensuring accurate responses and efficient data handling. To fine-tune LLM for chatbot use, companies must address data processing challenges. Prioritizing security and compliance in LLMs is also crucial to prevent risks like data poisoning and harmful outputs. In this whitepaper, you’ll find extensive information on:
- Data processing challenges and solutions
- The most common practices of risk mitigation
- LLM testing framework for chatbots