Task: Implement Large Lempel-Ziv. As a benchmark, compress all of Project Gutenberg; evaluate the resulting model numerically for autoregressive tokens/second and its ability to compress the Gutenberg corpus (perplexity), and qualitatively for its ability to write prose, technical documentation, code, poems, translations, one-shot prompts, etc. Provide a Nix flake which can be used to reproduce all results.
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Here is where computer science and neuroscience perfectly collided. In the 80s, AI engineers invented a Reinforcement Learning algorithm called Temporal Difference (TD) Learning to train software agents [4]. A decade later, neuroscientists measuring monkey brains realized that dopamine neurons fire in a pattern that perfectly matches the TD Error equation [5].
«Здания являются объектами культурного наследия, полностью готовы к эксплуатации», — пояснили в пресс-службе.