#other
This book provides a systematic introduction to large language models (LLMs), covering topics like traditional language models, LLM architectures, prompt engineering, efficient parameter tuning, model editing, and retrieval-enhanced generation. It aims to be easy to read and rigorous, with monthly updates and a list of relevant papers. The book helps readers understand LLMs' principles and applications, making it beneficial for those interested in AI and NLP. It offers a structured learning path, which is useful for both beginners and advanced learners.
https://github.com/ZJU-LLMs/Foundations-of-LLMs
#Elezioni#Romania#Presidenziali
Risultati definitivi:
Affluenza: 53,21% (+0,65 rispetto al 2024)
George #Simion (#AUR|ECR): 40,96%
Nicușor #Dan (supp. #USR-#DREPT-#PMP-#FD-#REPER-#PRA-#Verzii|EPP|RE|G/EFA): 20,99%
Crin #Antonescu (supp. #ARo|S&D|EPP): 20,07%
Victor #Ponta: 13,04%
Elena #Lasconi (#USR|RE): 2,68%
Lavinia #Șandru (#PUSL|Centro umanista populista): 0,64%
Daniel #Funeriu: 0,43%
Cristian #Terheș (#PNCR|ECR): 0,39%
Sebastian #Popescu (#PNR|Populisti): 0,28%
John Ion #Banu: 0,23%
Silviu #Predoiu (#PLAN|Centro): 0,18%
Necessario un secondo turno tra Simion e Dan.
In foto, la mappa del voto.
@OsservatorioEsteri