What more is there to say, really?
Tomorrow is the day for results.
A day that very excited indeed about.
Uh.
But I will mention everything that you can do at this point generating text and code with frontier models
and their APIs, open source models through hugging faces, various libraries, tools, assistance,
rag.
It's all part of your skill set.
You can follow the five step strategy I went through to solve problems including curating data, building
a baseline model, and fine tuning frontier model with example training sets in those jsonl the JSON
lines files that we uploaded, and now and now you can run Q Laura fine tuning for open source models,
including defining and selecting your hyperparameters.
And then you can run training and you can monitor training.
And a great joy it is to uh, so tomorrow, you will be able to run inference on a fine tuned model,
which isn't as simple as it sounds, because you can't just load it in.
You have to know how to load in the base model and apply these chullora weights on top of it.
But it's not that difficult.
But but it is.
There are a couple of steps to it.
Uh, and then, of course, we'll take a moment to look at the results.
Um, but most importantly, at that point, you will be able to carry out the end to end process from
first idea and thought and definition of the commercial problem through to having a trained model,
uh, to build your own proprietary verticalized LLM to solve a business problem.
And I was going to try and put a third bullet in there, because I've normally had three bullets against
the what you'll be able to do tomorrow.
But it seems to me like that second bullet is enough of a mic drop that it's like you don't need a third
bullet.
That's all you need.
That second bullet, it says it all.
That's what you're going to be able to do.
And it's huge.
I'll see you then.