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Gemma Open Models by Google

Open-source language models

10k 热度 AI训练模型 Gemma open models language models Google Cloud Kaggle
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软件新闻

Huawei details open-source AI development roadmap at Huawei Connect 2025

发布日期：2025-09-29

Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end. The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, […] The post Huawei details open-source AI development roadmap at Huawei Connect 2025 appeared first on AI News.

CAMIA privacy attack reveals what AI models memorise

发布日期：2025-09-26

Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI […] The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.

Samsung benchmarks real productivity of enterprise AI models

发布日期：2025-09-25

Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language […] The post Samsung benchmarks real productivity of enterprise AI models appeared first on AI News.

使用指南

What is Gemma?

A family of lightweight, state-of-the-art open models

How to use Gemma?

Discover quickstart guides, benchmarks, train and deploy on Google Cloud, and join the community to advance AI research

Gemma's Core Features

Comprehensive safety measures for responsible and trustworthy AI solutions

Exceptional benchmark results at 2B and 7B sizes

Framework flexibility with compatibility with Keras 3.0, JAX, TensorFlow, and PyTorch

Gemma's Use Cases

#1

Fine-tuning and inference tasks with Hugging Face Transformers

#2

Exporting to TensorRT-LLM for production with NVIDIA NeMo Framework

FAQ from Gemma

What are Gemma models?

Gemma Discord

Here is the Gemma Discord:

https://discord.com/invite/google-dev-community

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For more Discord message, please click

here(/discord/google-dev-community)

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Gemma Company

Gemma Company name:

Google

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Gemma Login

Gemma Login Link:

https://ai.google.dev/_d/signin?continue=https%3A%2F%2Fai.google.dev%2Fgemma&prompt=select_account

Gemma Github

Gemma Github Link:

https://github.com/google/generative-ai-docs/blob/main/site/en/gemma/docs/lora_tuning.ipynb?utm_source=agd&utm_medium=referral&utm_campaign=open-in-colab&utm_content=

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