Google is now offeringGemma 2B and 7B, a pair of open-source alternatives to theGemini AI.
These models provide more flexibility than Gemini and can integrate with local or cloud-based services.
However, the Gemma platform is less powerful than Gemini, so it may be limited to simple tasks.
As you may know, Google Gemini isfreely availableon the web and requires no technical expertise.
Developerscanintegrate the more powerful Gemini model with apps or services.
But this integration requires cloud-based, closed-source platforms like the Gemini API and Google Vertex AI.
Gemma, on the other hand, can run locallyorwithin the cloud.
Open-source AI also promotes transparency and may be used as a learning or research tool.
That said, there are some concerns associated with open-source AI models like Gemma.
In some cases, these safety tests were more rigorous than the tests endured by Gemini.
The AI models ship with “responsible AI toolkits” that allow developers and researchers to create additional guardrails.
A debugging tool is also included.
Additional safety details are listed in theGemma Model Card.
To reiterate, the open-source Gemma models are less powerful than Gemini.
Developers and researchers canbegin using Gemmatoday.
The model is authorized for commercial use and distribution, though there are some clauses in itsterms of use.
Note that the Gemma models are currently limited to English-language applications.
