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Το Transition Complexity Profile εξηγεί γιατί το score ενός AI world model δεν αρκεί χωρίς branching, interaction και dependency span.
Ελεγχόμενη μελέτη δείχνει πότε οι εξειδικευμένοι AI agents βελτιώνουν αριθμητικές εργασίες και πότε η σύνθετη κρίση χρειάζεται GRPO post-training.
See what linear probes, mean ablations, and token variability reveal about RL and SFT reasoning models, and how to evaluate them on real-world workloads.
Reinforcement learning verification examines what we can actually guarantee about an AI agent, ranging from step-wise and multi-step checks to preimage analysis and human oversight.
LOTAPO retrospectively evaluates each search step performed by an AI agent. How it works, what seven datasets revealed, and what this means for business workflows.
Μια νέα μελέτη για clinical agents δείχνει ότι το AI δεν βελτιώνεται με περισσότερο hype, αλλά με καθαρό feedback, σωστά benchmarks και ανθρώπινη γνώση στα κρίσιμα σημεία.
