Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.
Description
Zuro is actively utilized by organizations, financial institutions, and government bodies across the globe. We have achieved remarkable outcomes for our clients; reach out to us for detailed case studies and testimonials. Our orchestration powered by advanced AI significantly reduces expenses and enhances efficiency throughout your organization. Tailored specifically for your business objectives and sector, our AI engine surpasses generic public models while maintaining cost-effectiveness and a focus on return on investment. We create solutions that provide measurable returns for your business in a matter of weeks rather than years. Our technology processes both unstructured and structured data to develop predictive models, handling data volumes in the terabyte range and implementing highly efficient models. We extend our capabilities beyond conventional machine learning, revealing unexpected insights that can drive strategic decisions. Each solution we deliver is customized to address the specific nuances of your unique business challenges, ensuring adaptability to evolving business requirements and changes in data distribution. By focusing on the unique aspects of each organization, we ensure that our models remain relevant and effective in a dynamic environment.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AiAssistWorks
Yes
C#
Yes
C++
Yes
Claude
No
Clojure
Yes
Gemini Enterprise Agent Platform
Yes
Gemma
Yes
Google Cloud Platform
Yes
HTML
Yes
HubSpot CRM
No
Integrations
AiAssistWorks
No
C#
No
C++
No
Claude
Yes
Clojure
No
Gemini Enterprise Agent Platform
No
Gemma
No
Google Cloud Platform
No
HTML
No
HubSpot CRM
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Country
United States
Website
ai.google.dev/gemma
Vendor Details
Company Name
Zuro
Country
Norway
Website
getzuro.com
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No