And with that, we've reached an important milestone.
The first week of our eight week journey is complete, and there's been an awful lot covered.
And congratulations for making it to this point.
At this point, just to recap, you're in a position to describe the history of Transformers and the
shocking last few years.
The use of tokens, tokenization, the importance of context windows and exactly what that means, where
to go to look up API costs, and a lot more like that.
You've really got hands on experience looking at a bunch of different frontier models, both the big
six companies, but also some of the models within them and some of the very latest innovations.
And we've seen how something like count, how many times letter A appears in the sentence is something
surprisingly hard for Llms, even some of the very top ones.
And now, with your understanding of tokenization, you probably have a very good sense as to why.
And then most importantly, you're at this point, hopefully you are confidently able to use the OpenAI
API, Including adding in things like streaming and markdown.
You've built your own tool with the assignment, and you've also used the exercise we did.
You made multiple calls to LMS and you've played around with the system prompts.
You've got a good understanding of how you can use the system prompt for things like setting tone,
character of the response, as well as giving the specific instructions.
And you also understand about using both single shot and Multi-shot prompting as a way to get more accurate,
robust, repeatable results from the LM.
And to boot, you've also added in using the llama API to call the models running on your box directly.
It's not something that we'll be doing, particularly going forwards.
When we get to using open source models.
We'd rather use hugging face code when we can actually really get into the internals and start examining
things like tokens and stuff.
Um, but at any point you can always flip to using the Ulama API.
If you would like to reduce API costs.
So with that, that would be a wrap for a very substantive week, one with a lot of ground covered.
Next week we will be getting into using APIs for all of the frontier models.
So we'll be using OpenAI and Anthropic and Gemini.
You'll do some work a little bit more.
Another step in the direction of agent ization of agentic AI with a little bit more work on agents.
But most importantly, we're going to be building some data science UIs using the fabulous Gradio platform
that I love.
And we'll be doing that, including building a complete multimodal customer support agent that is able
to do things like show pictures and make audio and use tools where it calls into your computer.
So a lot to cover next week.
It's going to be a super exciting week and I can't wait to see you there.