6 ms·
In addition what about an LLM or more specifically a next token predictor where the cycles of token exchange vs prediction are smaller and not in a 100% ChatBot
by mewpmewp2 2y ago
In addition what about an LLM or more specifically a next token predictor where the cycles of token exchange vs prediction are smaller and not in a 100% ChatBot way.
E.g. there's status update after each 10 tokens for the LLM.
Something like:
----
Battery: 67%.
Wind Pressure: 20%.
Noise: 35DB
... other stuff
----
Action: Walk Around
Say: Hello
... 5 hours later ...
Battery: 13%
...
----
Goal: Find charging station
Action: Look right
So the battery here for example would be important... And it would have strong meaning for the LLM/Token predictor because in its neural network it would strongly signal that now is the time to find the charging station.
So here this robot is an LLM that is in a constant token input/output loop with sensors data being the input.