#kisz — Public Fediverse posts

Don't miss the second guest talk of the #AI Service Center Berlin-Brandenburg (#KISZ)🎤

Ramin Khalili will present a new method in the field of #FederatedLearning (FL) that allows successive freezing and training of the parameters of a FL model, thus reducing the resource requirements of the training on the devices while still allowing sufficient co-adaptation between parameters.

📅July 27, 1-3 pm
📍HPI, Building L, Room L-1.06 (Campus II)
📝More info & registration: https://hpi.de/en/the-hpi/registration/2023/ramin-khalilihpi-kisz-02-guest/

Don't miss the second guest talk of the #AI Service Center Berlin-Brandenburg (#KISZ)🎤

Ramin Khalili will present a new method in the field of #FederatedLearning (FL) that allows successive freezing and training of the parameters of a FL model, thus reducing the resource requirements of the training on the devices while still allowing sufficient co-adaptation between parameters.

📅July 27, 1-3 pm
📍HPI, Building L, Room L-1.06 (Campus II)
📝More info & registration: https://hpi.de/en/the-hpi/registration/2023/ramin-khalilihpi-kisz-02-guest/

Mit #Dolly große Sprachmodelle demokratisieren🐑

Nicht verpassen: Im ersten #KISZ Talk des KI-Servicezentrums am HPI spricht Matei Zaharia, Chief Technologist bei Databricks und Associate Professor für #ComputerScience an der Stanford University heute ab 17 Uhr über die Demokratisierung von Large Language Models.

🔗Link zum Livestream unter: https://hpi.de/en/the-hpi/registration/2023/matei-zahariahpi-kisz-01-guest/

#AI #KI #LLM

Mit #Dolly große Sprachmodelle demokratisieren🐑

Nicht verpassen: Im ersten #KISZ Talk des KI-Servicezentrums am HPI spricht Matei Zaharia, Chief Technologist bei Databricks und Associate Professor für #ComputerScience an der Stanford University heute ab 17 Uhr über die Demokratisierung von Large Language Models.

🔗Link zum Livestream unter: https://hpi.de/en/the-hpi/registration/2023/matei-zahariahpi-kisz-01-guest/

#AI #KI #LLM