Developing an LLM: Building, Training, Finetuning Managing Sources of Randomness When Training Deep Neural Networks Insights from Finetuning LLMs with Low-Rank Adaptation Build an LLM from Scratch 7: Instruction Finetuning 17h | Sebastian Raschka Build an LLM from Scratch 6: Finetuning for Classification 8d | Sebastian Raschka Build an LLM from Scratch 5: Pretraining on Unlabeled Data 20d | Sebastian Raschka Build an LLM from Scratch 4: Implementing a GPT model from Scratch To Generate Text 26d | Sebastian Raschka Build an LLM from Scratch 3: Coding attention mechanisms 1mo | Sebastian Raschka Build an LLM from Scratch 2: Working with text data 1mo | Sebastian Raschka Build an LLM from Scratch 1: Set up your code environment 1mo | Sebastian Raschka Reinforcement Learning with Human Feedback (RLHF) in 4 minutes 2mo | Sebastian Raschka LLMs: A Journey Through Time and Architecture 7mo | Sebastian Raschka Building LLMs from the Ground Up: A 3-hour Coding Workshop 7mo | 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
