ForGen AI ResearchForGen.ai is advancing research in grokking acceleration, learnable gradient accumulation, meta-learning, low-rank adaptation (LoRA), and retrieval augmentation (RAG) for transformer models. Please enable JavaScript to explore our research.Key Research Areas

Learnable Gradient Accumulation: View Research

Grokking Acceleration in Large Language Models

Parameter-Efficient Fine-Tuning (PEFT) with Low-Rank Adaptation (LoRA)

Retrieval-Augmented Generation for Enhanced Model Performance

Contact: research@forgen.ai