I’ve made an LLM-driven web browser. I’ve named it Zenbot. It’s just a mathematical word-generator with a set of word-tools, let loose on the internet. It’s sort of built to translate commands into actions, directly, using the Python coding language, which I’ve noticed is basically English.
I’ve described it like this: “Synchronous communication becomes asynchronous communication in an elegant double-helix of English language-powered Python interpretation driven by you, the user.” as I noticed two types of Python functions, sync and async, could be utilised together when an LLM was involved in the mix.
It’s sort of like if a whole restaurant shared one brain, which was passed from customer to waiter to kitchen and back again, and at the end of the chain a customer has their order. If you ask Zenbot to ‘search for pizza’, it will search for pizza.
There are, of course, lots of advantages to doing it this way, which I focused on, like:
Efficiency
Speed
Capability
Versatility
Security
As I don’t use any traditional method. I believe the LLM should be modelled on the task, not vice-versa.
I am of the opinion that Zenbot demonstrates how mainstream approaches to LLMs are changing. Small, tailored models are the future for operating untold new and old technologies. I still do not know if they should be writing words that mean things to humans. But it’s a brave new world!
I’ve got lots more ideas for projects, and Zenbot is getting some improvements as we speak. likecommentsubscribe
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