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Η προσαρμογή του CLIP βελτιώνει τον περιφερειακό γεωεντοπισμό, αλλά το scene configuration και το train–test overlap καθορίζουν την ερμηνεία.
A comparison of LoRA, prompt tuning, and few-shot training in Roman Urdu shows significant improvement, but also critical gaps that need to be addressed before production deployment.
Το Recall-Anchored Distillation ξεχωρίζει την απώλεια γνώσης από την αποτυχία πρόσβασης μετά το fine-tuning και δείχνει πώς ελέγχεται η ανοικτή ανάκληση.
DPO optimizes the preference data signal. Learn how to check for pairs, length bias, lexical shortcuts, tokenizer limits, and critical slices before fine-tuning.
TwIL-LM2 brings standard logic to a small model that runs locally. Benchmarks, limits, licensing, and a secure pilot with an independent verifier.
