Turing Complete Computation
The discussion highlights a new paradigm in computation that transcends traditional limitations of pre-trained LLMs by introducing potentially unbounded memory. This advancement allows for a more flexible and powerful approach to learning and adapting to new information. The ARC Challenge serves as a case study, showcasing how specific techniques can enhance the capabilities of language models, although they may still lack generality.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Jonas Hübotter (ETH) - Test Time Inference
Related Questions