Qivitoq GPT-nut suna uagut takorneqartut, qanoq suliaqarnermut tamakkerluni?
Nunaqaatit assigiinngitsut peqatigiiffiat GPT-modeli siunissamut tunngasut: 

1. Fine-tuning: GPT-modeli siunissamut peqatigiiffiataaffik suliassaqartitsiullu nunatsinni ilinniartoqarfiaqullu, immaqaatitsinni suliaisut sammisaqarfiusut, siullermik katersugaasut. 

2. Hyperparameter ilisarnissat: GPT-modeli siunissamut peqatigiiffiat ilisarnissat suliaqartitsiullu isumaginninnermut, oqaluttuata Marluk suliarineq, ilinniarnissat suliarineq, suliffik ilisarnissat suliarineq, katersugaasut suliarineq. 

3. Data pre-prossekkat: Data pre-prossekkat GPT-modeli siunissamut peqatigiiffiataaffik. 

4. Regularisat: GPT-modeli siunissamut tunngasullu peqatigiiffiataaffik, dropout, weight decay. 

5. Ensuring diversity in generated text: GPT-modeli siunissamut peqatigiiffiataaffik, top-k sampling, nucleus sampling, temperature scaling. 

GPT-modeli siunissamut peqatigiiffiat fine-tuning, hyperparameter ilisarnissat, data pre-prossekkat, regularization, katersugaasullu suliaqartitsiullu, oqaluttuata Marluk suliarineq.