Developing an LLM: Building, Training, Finetuning Managing Sources of Randomness When Training Deep Neural Networks Insights from Finetuning LLMs with Low-Rank Adaptation LLMs: A Journey Through Time and Architecture 4mo | Sebastian Raschka Building LLMs from the Ground Up: A 3-hour Coding Workshop 5mo | Sebastian Raschka Understanding PyTorch Buffers 6mo | Sebastian Raschka Developing an LLM: Building, Training, Finetuning 8mo | Sebastian Raschka Managing Sources of Randomness When Training Deep Neural Networks 10mo | Sebastian Raschka Insights from Finetuning LLMs with Low-Rank Adaptation 1y | Sebastian Raschka Finetuning Open-Source LLMs 1y | Sebastian Raschka Scaling PyTorch Model Training With Minimal Code Changes 2y | Sebastian Raschka L13.5 What's The Difference Between Cross-Correlation And Convolution? 3y | Sebastian Raschka Conditional Ordinal Regression for Neural Networks (CORN) With Examples in PyTorch 3y | Sebastian Raschka 1 2 3 4 5 > >> Unirsi al gruppo Ricerca CreatoPassato un giornoPassati quattro giorniMese scorso Choose a GroupSebastian Raschka Choose a User Ordina perper pertinenzaUpvotedNuovo primaConteggio segnalibriConteggio commenti Ricerca
