Challenges of Building Products with Large Language Models

Building products with large language models (LLMs) comes with significant challenges. In this blog post, the author shares the real-world difficulties faced when developing Honeycomb's Query Assistant, an AI-powered natural language querying interface. Key issues include:

• Constraints around LLM context windows and schema size
• Slow LLM performance and limitations of chaining LLM calls
• Complexities of prompt engineering and balancing correctness with usefulness
• Addressing legal and compliance requirements for integrating LLMs

Read now to learn more.