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MIT open-sourced the RLM (Recursive Language Models) inference library, which handles ultra-long contexts by having the model recursively call itself programmatically, solving the limited context window problem of traditional models.
Humans are training teacher models to teach student models in a step-by-step manner, penalizing leaps, to improve model intelligence.