From Software Engineer to AI Engineer - Part 2: Structuring the model
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Part 1 left us with a model that talks back beautifully but without structure. This is fine, even pretty cool, for a chatbot used by humans. We understand natural language and fuzziness. Unstructured output is, however, terrible for software. You cannot parse the output into a typed object if the shape is different every time. To build an application around a model, you must make it respect an interface. This part covers the two skills that turn model output into something you can build on:…
1Key Takeaways
- Part 1 left us with a model that talks back beautifully but without structure.
- This is fine, even pretty cool, for a chatbot used by humans.
- We understand natural language and fuzziness.
- Unstructured output is, however, terrible for software.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that part 1 left us with a model that talks back beautifully but without structure.
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