LLM excels at a broad range of text generation use cases, but The success of AI solution depends on clear goals and robust test cases. Prompt engineering controls model’s behavior to meet those goals.

When semantic understanding is needed beyond generation, Text embeddings represent text in numerical form enable similarity search and classification.

Ultimately, LLM solution can be optimized for cost, latency, and accuracy to ensure practical viability.