Gemma introduces Google’s latest open model: 2B & 7B beginners’ guide

Posted by

Gemma | Google最新开放模型入门

Gemma | Google最新开放模型入门

Google recently introduced a new open model called Gemma that is designed to help developers easily build and deploy machine learning models. Gemma offers both 2B (business-to-business) and 7B (business-to-business-to-business) capabilities, making it a versatile tool for a wide range of applications.

With Gemma, developers can quickly create custom machine learning models using pre-built components and APIs, significantly reducing the time and effort required to develop and deploy ML models. This open model allows for seamless integration with existing systems and applications, making it an ideal solution for businesses looking to leverage the power of machine learning.

One of the key features of Gemma is its scalability, allowing developers to easily scale their models as their needs grow. This flexibility makes Gemma suitable for both small startups and large enterprises, providing a cost-effective solution for businesses of all sizes.

In conclusion, Gemma is a game-changing tool for developers looking to harness the power of machine learning. Its open model, combined with its scalability and flexibility, make it an invaluable resource for businesses looking to stay competitive in today’s rapidly evolving digital landscape.

0 0 votes
Article Rating
13 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
@badguys94
3 months ago

为何下载至 17% 就不动了

@user-bl3ri1qx1s
3 months ago

2b反正不太行 上下文联系不好

@NikiZheng
3 months ago

安装keras 3.0一直在报错,upgrade也升不上去,请问楼主怎么办?

@ethanhunt6756
3 months ago

能教一下 RAG怎做嗎

@jingxiang7830
3 months ago

中文聊天效果好不好

@fan_1124
3 months ago

2024-02-22 21:46:06.987170: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.

To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.

2024-02-22 21:46:08.362407: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
在import Keras_nlp的时候报这个错是为什么

@CanDoSo_org
3 months ago

博主能不能介绍一下这个主要的应用场景。

@user-bt6tt2ey4s
3 months ago

支持中文吗

@qls830
3 months ago

看起来不能私有化部署

@user-ut4cw5cw5k
3 months ago

有RAG支持吗?

@user-zg5gr5ys3j
3 months ago

赞一个

@yuli.kamakura
3 months ago

youtuber 知识博主,这个是你的正职吗?

@apontcai
3 months ago

speed