3. XML in a GenAI World: Features & Follies - Dave Gullo
Generative AI has exploded lately and holds tremendous potential with respect to media generation. While it is possible with most models to ingest and export to a myriad of formats including XML, the out-of-the-box LLM experiences with regard to generating reliable XML can range from reliable to comical.
Our company uses a DSL (Domain Specific language) defined by XSD to specify the words and actions necessary to generate human-like software videos. We use XML as the declaration format for these videos, along with XSLT to transform many other formats into our parlance.
We’ll take a dive into first-experiences with a number of LLMs to see how they stack up in terms of intelligent export to XML. Some surprising effects emerge, such as hallucination of namespaces, attributes and elements; and some theories as to why. We’ll incorporate short videos demonstrating the behaviors of various LLMs, and prompting strategies which help narrow the XML into workable/acceptable document structures.
The goal for this 30 minute discussion is to educate (and perhaps entertain) the audience about these techniques. We will attempt to do some live “demos” or examples of these, and if there are any technical difficulties there will also be pre-recorded videos. If there is time for audience interaction, it would be beneficial to learn about techniques or tooling that help in reliably outputting to XML from LLMs.
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