thallukrish

I believe the time is ripe to capture how an enterprise works into a living map that can answer questions about its data and processes for analytics, BI and everyday decision making.

LeMap is an attempt to build the tools that make this possible.

When complexity increases, you end up handholding them in pieces.

Yes. That seems to be the case. While it may not be saving any time compared to generating general python code vs. specific symbolic code, the real value could be that it has an engine to enforce the contract on LLM responses with the library or even do the calls to the LLM as a common piece of code making it less error prone and bringing consistency in the interactions with the LLM.

Since code is generated by LLM these days, how does specific syntactic constructs like a Symbol which essentially carries the context and can be manipulated with python operators help when compared to a normal python code generated by LLM with all the checks and balances instructed by a human? For example, I can write in this syntax to convert all fruits to vegetables or I can simply prompt an LLM to construct a program that takes a list of fruits and calls a LLM in the background to return the vegetables equivalent. I am trying to understand the difference.

The problem with organizing is not the lack of tools or techniques. It is simply not possible to devise a system which works automatically with little effort. Everything requires varying levels of discipline which is hard to keep up with time and a different situation.

this is like minecraft.

Don't find time for something. Find something that takes your time.

Will it give the same answer for a question or change the answers every time you ask it ? Just curious.