Explore the process for constructing and fine-tuning a dependable and compliant LLM chatbot for document processing, user assistance, customer support, and other tasks.
Learn how are LLM chatbots 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