How can a machine that generates language in such a mechanical way grasp words’ meanings? Applied scientist Matthew Trager (left) and vice president and distinguished scientist Stefano Soatto (right) discuss whether large language models understand the world: https://lnkd.in/ebRTAuez #LLMs #GenerativeAI #AWS
“ we will need to face the fact that even humans lack a stable, universal system of shared meanings” - this is slippery concept, as it is an area of debate itself whether the problem is that we lack the language to express meaning as an stable reality, or if it is the meaning itself which isn't as stable as we like to believe.
More about Amazon’s LLM research below.
Principal Product Marketing Manager, Amazon Science
1w“As we move toward a future in which LLMs are likely to play a larger and larger role, we should not dismiss ideas based only on our intuitions but continue to ask these difficult questions.” This.