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.