Google releases Gemma 2 2B, ShieldGemma and Gemma Scope
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Welcome Gemma - Google’s new open LLM
Gemma 3n fully available in the open-source ecosystem!
Introducing Gemma 3n: The developer guide
Gemma 3n is designed for the developer community that helped shape Gemma.
Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior
Open interpretability tools for language models are now available across the entire Gemma 3 family with the release of Gemma Scope 2.
Gemma 4: Byte for byte, the most capable open models
Gemma 4: Our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.
Introducing Gemma 3 270M: The compact model for hyper-efficient AI
Today, we're adding a new, highly specialized tool to the Gemma 3 toolkit: Gemma 3 270M, a compact, 270-million parameter model.
Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM
Stop Choosing Between Local and Cloud LLMs: A Field Guide to Hybrid Patterns
A hands-on walkthrough of a hybrid local-cloud workflow using Gemma 4 and GPT-5. 4, with reasoning and structured outputs The post Stop Choosing Between Local and Cloud LLMs: A Field Guide to Hybrid Patterns appeared first on Towards Data Science .
Cross-Generational Transfer of Adversarial Attacks Reveals Non-Monotonic Safety Alignment in LLMs
arXiv:2606. 00813v1 Announce Type: cross Abstract: Safety alignment in LLMs does not improve monotonically across model generations.