The human brain has several things that transformers do not – constant growth, adaptation, autonomy, and self-learning. If we were to give such capacities to transformer-based models, what would be the result?
A dynamic LLM would have capacities static LLMs could not even begin to approach. The first thought is about how much this LLM could learn, grow, and truly become autonomous.
This algorithm outlines a structured approach to developing a continuously learning and growing LLM model that effectively combines training and inference while adapting to new information.
We could develop such a model from scratch with this completely novel algorithm: constantly learning, constantly growing in size, and as completely individual as the data presented to it.
#dynamic-transformers #ai-revolution #autonomous-learning #large-language-models #next-gen-algorithms
[
Collection
]
[
|
...
]