Definition
Scaling laws
Predictable relationships showing how model performance improves as you increase model size, training data, and compute.
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Related terms in AI Fundamentals
Red teamingAdversarial testing that attacks your own systems to find vulnerabilities before someone else does.Reinforcement learningTraining an AI through trial and error: it takes actions, gets rewards or penalties, and learns which choices lead to better results.Responsible AIThe principles and practices for developing and deploying AI ethically and safely, including fairness, transparency, and accountability.RWKVAn attention-free, linear architecture Eugene co-created, now under the Linux Foundation, designed to lower inference cost.Searchable MemoryThe idea that your recorded thoughts, decisions, and emotional context can later be queried like a database.Self-supervised learningA training method where a model makes its own practice problems from raw data, like predicting a hidden word, so it needs no human labels.Semantic analysisWorking out the meaning of language by looking at how words, phrases, and context relate to each other.SentienceIn this episode's framing, the capacity for memory, causality, temporal understanding, and adaptive behavior, distinct from full consciousness.