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 3mo | Sebastian Raschka Building LLMs from the Ground Up: A 3-hour Coding Workshop 4mo | Sebastian Raschka Understanding PyTorch Buffers 5mo | Sebastian Raschka Developing an LLM: Building, Training, Finetuning 7mo | Sebastian Raschka Managing Sources of Randomness When Training Deep Neural Networks 8mo | 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? 2y | Sebastian Raschka Conditional Ordinal Regression for Neural Networks (CORN) With Examples in PyTorch 2y | Sebastian Raschka 1 2 3 4 5 > >> Join group Search CreatedPast one dayPast four dayPast month Choose a GroupSebastian Raschka Choose a User Sort byby relevanceUpvotedNew firstBookmark countComment count Search
