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Ten months later, the $100 Google Home Speaker is finally available for preorder

The new Google Home speaker, powered by Gemini, is available for preorder on June 25 for $100. It emphasizes AI capabilities over audio quality. Builders should note the device's focus on AI-driven features for smart home integration. The speaker's release may impact the smart home market.

Key takeaways
  • Available for preorder on June 25.
  • $100 price point.
  • Emphasizes Gemini AI capabilities.
AArs Technica#smart-home#ai-powered#google
modelsSep 4

Welcome EmbeddingGemma, Google's new efficient embedding model

Google released EmbeddingGemma, a lightweight embedding model targeting efficient, high-performance applications. EmbeddingGemma is designed for use cases like text classification, clustering, and semantic search. It offers a balance of accuracy and efficiency, making it suitable for builders who need high-quality embeddings without high computational costs. The model is available on Hugging Face.

Key takeaways
  • EmbeddingGemma is Google's new efficient embedding model.
  • Designed for text classification, clustering, and semantic search.
  • Available on Hugging Face for use.
HHugging Face Blog#embeddings#efficient-ai#google
modelsDec 5

Welcome PaliGemma 2 – New vision language models by Google

Google released PaliGemma 2, a new family of vision language models. PaliGemma 2 models are open-weights and designed for image captioning, visual question answering, and other vision-language tasks. You can use PaliGemma 2 for applications like content moderation, image retrieval, and more. The models are available on the Hugging Face Hub.

Key takeaways
  • PaliGemma 2 models are open-weights and designed for vision-language tasks.
  • The models are available on the Hugging Face Hub.
  • PaliGemma 2 targets applications like content moderation and image retrieval.
HHugging Face Blog#open-source#vision-language#google
modelsApr 9

CodeGemma - an official Google release for code LLMs

Google released CodeGemma, a family of code generation models. The open-weights models come in 2B and 7B parameter sizes. You can use them for code completion, generation, and understanding tasks. CodeGemma targets developers who want to integrate code LLMs into their tools and workflows.

Key takeaways
  • CodeGemma models are open-weights and available in 2B and 7B sizes.
  • Targets code completion, generation, and understanding tasks.
  • Developed by Google for use in developer tools and workflows.
HHugging Face Blog#open-source#code-llm#google