Well.
Hello there.
Look, I know what you're thinking.
You're thinking I peaked too early.
Last week was an amazing climax.
We built a model that massively outperformed the frontier.
It can't get better than that.
Well, I've got news for you.
It's going to get better than that.
We are actually going to have the best week yet.
And it's just getting started.
So this week, this week it's about reaching the pinnacle.
It's about becoming a master of LM engineering.
And we're going to do it.
We're going to have a blast.
It's going to be epic.
Uh, we are going to build a multi-agent framework.
We're going to build a solution that is going to be really, really awesome.
And yeah, it's going to do something profound and it's going to do it using everything that we've been
building for the last eight weeks.
Uh, for today, though, we're going to be using modal, the serverless platform for AI, so that we
can deploy the same model that we built last week, our proprietary Three specialized alum, we're going
to be able to deploy it behind a serverless API on the cloud, and we're going to build the first agent
of many.
The first of the seven agents that are going to be part of the solution that we are building this week
to solve a juicy business problem.
So without further ado, let's get into week eight, the final week of mastering LLM engineering.
And of course, it wouldn't be the start of a week without this picture.
For the last time, let's look at the journey that you've been on.
You started or seven weeks ago, uh, you first uh, we we spent some time looking at frontier models,
uh, looking at asking questions, asking how many times that A appeared in this sentence, if you can
remember that, uh, in week two, we built UIs.
We experienced gradio for the first time.
We worked with agent ization in a light way.
It's going to get a lot heavier.
Uh, and we played around with Multi-modality in week three, we went open source with hugging face
with tokenization, with with models.
In week four, we built that amazing code generation tool that rewrote Python a, C plus, plus.
And in doing so, we explored how you select the right LLM to solve a business problem.
In week five, we tackled Rag using Lang Chain and built a question answering project.
Maybe you built something bigger as well.
In week six.
Week six was when we started on training and we fine tuned a frontier model and week seven.
Of course, week seven we've just come from was when we beat that frontier model using Cultura fine
tuning to make our own Verticalized specialized LLM.
And I loved it and I hope you did too.
And so this week, week eight, the culmination of everything that's come before is when we have a finale.
We must LLM engineering and we're going to do it by focusing on Agentic AI and building an agent platform.
Let's talk more about that next time.