Gemma LLM: Everything You Need to Know

Gemma is a new family of open language models developed by Google, designed for various tasks in natural language processing.

Gemma follows a decoder-only transformer architecture with key features like multi-query attention and GeGLU activations for improved performance.

Gemma models underwent supervised fine-tuning and reinforcement learning from human feedback to refine their performance and ensure safety.

Careful filtering processes were applied to the training data to remove unwanted or unsafe content, ensuring the quality and safety of the dataset.

Gemma outperforms other models on various benchmarks, showcasing its prowess in tasks like question answering and commonsense reasoning.

Gemma achieves higher accuracy and lower perplexity scores compared to other models, solidifying its position as a powerful language model.

With strong capabilities in text processing and reasoning, Gemma is poised to be a valuable tool for researchers and practitioners across different domains.