Bespoke UIs mixed in with Chat. youtube.com/watch?v=xgi1YX6HQBw

There are two technologies that I'd expect to be useful in the context of LLMs:

• Controlled natural langues (see sites.google.com/site/controllednaturallanguage for a list), which are subsets of natural languages that can be assigned formal semantics.
• Concatenative programming languages (concatenative.org/wiki/view/Concatenative%20language), which are formal language whose syntax shares the linear structure of natural languages that is the basis of LLMs.

Has anyone seen such connections pointed out or explored yet?

I built this command-line bot that automates complex online tasks using both the browser and the APIs of cloud-services: github.com/aicombinator/bot

It's built with GPT-3.5-Turbo, Puppeteer and ActivePieces.

So is it the case that langchain and agents are specifically built prompt templates that are backed with some fun interprocess coms, passing the results to various piped tools like a python / JS script to get the next ‘prompt piece’, and then looping until something ‘correct’ comes up? I feel github.com/mpaepper/llm_agents simplified the abstractions a bit to help me understand what was going on.

Thinking about multi-agent / multi-tool systems where humans and bots collaborate:

DoD calls this “human-machine teaming”

(Though it is assumed that there’s a human in the loop, so it’s not the same thing)