Google DeepMind has released Gemma 2, a family of high-performing and efficient open models for various AI tasks. Gemma 2 is designed to run efficiently on a single GPU or TPU host, and it is compatible with major AI frameworks like Hugging Face Transformers, JAX, PyTorch, and TensorFlow. It is available in 9 billion and 27 billion parameter sizes.
Friday, June 28, 2024Google is adding a new 2B parameter model, safety content classifier model, and model interpretability tool to the Gemma 2 family.
Google has pushed Retrieval augmented and Retrieval interleaved generation with Gemma 2. It has improved them with access to many external data sources. This is a guide on fine-tuning.