Okay, let's walk through anthropic Claude.
It's, uh, my current favorite model, actually.
So it's a transformer model.
Just ChatGPT.
And actually, the team that created Anthropic's Claude model, I think, originally came from OpenAI
as well.
Yeah, they left because of safety concerns.
And you could definitely find that you get a lot more refusals with this model for certain things.
That's one caveat, but that said, it feels like the smartest model.
So currently I'm using sonnet 3.5.
It might be a newer model out there.
Maybe they haven't retained their edge by the time you're watching this, but right now it's a really
great model and it's accessible via the cloud console or the API, as well as through a web app and
a mobile app as well.
What major difference in terms of approach is that anthropic seems to focus more on constitutional AI
or synthetic data, like training it based on a list of rules, in order to get it to follow those rules
rather than using Rlf, which is what OpenAI used for its training it based on individual preferences
from people.
So in terms of performance, I would say that this is artificially low.
It's definitely not seventh.
It's definitely it's definitely way better than GPT four or mini.
In my experience, I think the reason why the the rankings are a little bit lower for it is because
it has so many refusals.
I will just say no to some types of tasks.
And also maybe the formatting isn't as perfect as like what people would want.
One of the things I find is that it gives you a bit of a preamble of the text, and a little bit of
a description of what it's done.
It can't really help itself.
So you have to work a little bit harder to parse the answer in my experience.
Now, in terms of features that make it really powerful, one of the first things I did was I uploaded
my whole book into the prompts, and it actually takes it.
They have a at the time that 100 K contact center, now it's 200 K might even be longer.
So I think only Google has a longer context window, but it does a really good job of document understanding
because of that.
It's also a great creative writing partner.
Like, you can throw in a bunch of examples of something you're trying to do, like here I've got a
bunch of examples of my blog post titles, and then it's coming up with good other ideas as well.
It feels more creative than the other models, like some of these names are great, like the prompt,
Whisperer, prompts and Wonderland.
Dancing with Digital Socrates.
Maybe a bit too crazy.
And then Code Generation.
It's currently the best model.
The one that most people use for writing code in cursor specifically.
You can choose which model you use when you're using the cursor code editor.
This is like their version of GitHub Copilot.
And man does it work really well.
It's really useful.
That's tends to be what people use it for document understanding, creative writing, and code generation.
So try this model out.
And yeah, let me know if you like it.