Challenges of Building Products with Large Language Models

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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.

Vendor:
Honeycomb
Posted:
Sep 17, 2024
Published:
Sep 17, 2024
Format:
HTML
Type:
Blog
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