How Generative AI Works (a Very Rough Guide)
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Locked
Specialist Test Engineer
Talk Description
Let's build a language model together!
Think it's impossible in the timeframe? Well, it's not going to be a general purpose Large Language Model. In fact, it's going to be a highly limited, incredibly Tiny Language Model. It's not about what the Language Model can do in this case, it's about what building it will show us.
I believe that to make truly effective use of a tool we need to have a rough understanding of how it works. But for many testers and automators LLMs seem to be a black box: we don't know how they work, so we're not sure when to use them or not to use them.
Making a TLM based on audience input is just one of the ways in which this talk aims to give a rough guide to how Generative AI works. So that we don't end up doing the equivalent of trying to push a nail into a wall with a screwdriver, or using a chainsaw instead of sandpaper.
By the end of this session, you'll be able to:
- How to effectively use generative AI
- Why generative AI struggles with some tasks
- What we can and can't fix with better prompting
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