That 10-axis radial graph is very interesting. Do others besides this author agree with that representation?
The weak points are speed and long-term memory. Those are usually fixable in computing system. Weak long-term memory indicates that, somehow, a database needs to be bolted on. I've seen at least one system, for driving NPCs, where, after something interesting has happened, the system is asked to summarize what it learned from that session. That's stored somewhere outside the LLM and fed back in as a prompt when needed.
None of this addresses unstructured physical manipulation, which is still a huge hangup for robotics.
My point is that the axes chosen are important, and if this is a good rating system, we ought to see those radial charts for the different models and systems available.
That 10-axis radial graph is very interesting. Do others besides this author agree with that representation?
The weak points are speed and long-term memory. Those are usually fixable in computing system. Weak long-term memory indicates that, somehow, a database needs to be bolted on. I've seen at least one system, for driving NPCs, where, after something interesting has happened, the system is asked to summarize what it learned from that session. That's stored somewhere outside the LLM and fed back in as a prompt when needed.
None of this addresses unstructured physical manipulation, which is still a huge hangup for robotics.