HALLM: An Agent Reacting to Errors and Unexpected Situations

In this video, we show a scenario in which HALLM is presented with an unknown class object to interact with and a task to accomplish afterward. The initial query from the user is given disguised as a comment (green). After that, the LLM starts interacting with the Python terminal with that goal in "mind". In yellow, we see the lines that have been executed by HALLM in the terminal, and blue text represents the output of those instructions.
The Agent quickly reacts to finding unexpected information or errors and finds its way to achieving the goal set by the user. When calling the LLM, all yellow text is tagged as "assistant" and all blue text as "user", enforcing this way the illusion that the LLM is actually interacting with a real Python terminal.
Read more in article below 👇🏻
www.goodai.com/hallm-an-llm-a...

[@n_x1891]

I was really hoping it would say what the fuck why didn’t it work

[@y7o4ka]

Very cool!

[@rickyrickster1303]

Hidden gem