When to consider generative AI
As we have been exploring, one of the powers of GenAI is the ability to automatically generate responses without being explicitly trained on it. Rather than just executing predefined tasks, LLMs can infer responses by drawing on their contextual understanding and knowledge. This aspect of emergent reasoning unlocks unique opportunities for rapid experimentation and iterative refinement of novel use cases.
When considering potential applications for GenAI, the first evaluation criterion centers on comprehension-based tasks. Sentiment analysis, content classification, intent classification, relationship extraction, summarization, and more all leverage innate language understanding. Developers can formulate prompts aligning to use cases that interpret, organize, or infer meaning. To unlock the full potential of LLMs, developers will iterate on these given prompts through thoughtful “prompt engineering.” Prompt engineering attempts to optimize...
