Understanding LoRA Part I: Exploring Intrinsic Dimensions towardsdatascience.com Post date October 31, 2024 No Comments on Understanding LoRA Part I: Exploring Intrinsic Dimensions External Tags deep learning, LLM, LoRA, machine-learning, thoughts-and-theory
A Simple Recipe to Boost the Performance of MLLMs on Your Custom Use Case towardsdatascience.com Post date June 11, 2024 No Comments on A Simple Recipe to Boost the Performance of MLLMs on Your Custom Use Case External Tags document-understanding, LoRA, MLLM, nlp, ocr
Clone the Abilities of Powerful LLMs into Small Local Models Using Knowledge Distillation towardsdatascience.com Post date April 2, 2024 No Comments on Clone the Abilities of Powerful LLMs into Small Local Models Using Knowledge Distillation External Tags knowledge-distillation, llama 2, LLM, LoRA, machine-learning
An Overview of the LoRA Family towardsdatascience.com Post date March 10, 2024 No Comments on An Overview of the LoRA Family External Tags adapter, dora, editors-pick, LLM, LoRA
Easily Train a Specialized LLM: PEFT, LoRA, QLoRA, LLaMA-Adapter, and More towardsdatascience.com Post date March 9, 2024 No Comments on Easily Train a Specialized LLM: PEFT, LoRA, QLoRA, LLaMA-Adapter, and More External Tags artificial-intelligence, deep-dives, LLM, LoRA, machine-learning
Evaluating Fine-Tuned LLMs with WeightWatcher Part II: PEFT / LoRa Models charlesmartin14.wordpress.com Post date January 28, 2024 No Comments on Evaluating Fine-Tuned LLMs with WeightWatcher Part II: PEFT / LoRa Models External Tags deep learning, Fine Tune, fine tuning, LLM, LoRA, peft, Uncategorized
Implementing LoRA from Scratch towardsdatascience.com Post date December 12, 2023 No Comments on Implementing LoRA from Scratch External Tags deep-dives, LoRA, neural-networks, nlp, transformer model
The LLM Revolution: Transforming Language Models feeds.feedburner.com Post date November 8, 2023 No Comments on The LLM Revolution: Transforming Language Models External Tags Advanced, architecture, DataHour Article, fine tuning, language models, large-language-models, LLM, LLM training, LLMs, LoRA, Ludwig, Models, parametric efficient fine tuning, QLoRA, Training