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Description
AI should focus on its core capabilities, and Olive’s AI workforce enhances the efficiency, affordability, and human touch of the nation’s top health systems. We prioritize the improvement of your current operations, enabling you to transform the future of healthcare. Designed specifically for the unique hurdles in healthcare, Olive integrates effortlessly with existing administrative procedures, system standards like FHIR and HL7, and various technologies. Instead of complicating workflows, she streamlines them while providing unparalleled security tailored for the healthcare sector. While Olive may not be a patient care specialist, health systems also shouldn’t have to master AI technologies. From identifying automation opportunities for maximum return on investment to managing and optimizing the performance of your AI workforce, Olive handles every aspect. An added advantage is that knowledge gained by one Olive is shared across the network, ensuring that hospitals are never faced with the same issue repeatedly, illustrating the powerful network effect at play. This collaborative learning environment fosters continuous improvement and drives innovation in healthcare delivery.
Description
Phi-4-mini-reasoning is a transformer-based language model with 3.8 billion parameters, specifically designed to excel in mathematical reasoning and methodical problem-solving within environments that have limited computational capacity or latency constraints. Its optimization stems from fine-tuning with synthetic data produced by the DeepSeek-R1 model, striking a balance between efficiency and sophisticated reasoning capabilities. With training that encompasses over one million varied math problems, ranging in complexity from middle school to Ph.D. level, Phi-4-mini-reasoning demonstrates superior performance to its base model in generating lengthy sentences across multiple assessments and outshines larger counterparts such as OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. Equipped with a 128K-token context window, it also facilitates function calling, which allows for seamless integration with various external tools and APIs. Moreover, Phi-4-mini-reasoning can be quantized through the Microsoft Olive or Apple MLX Framework, enabling its deployment on a variety of edge devices, including IoT gadgets, laptops, and smartphones. Its design not only enhances user accessibility but also expands the potential for innovative applications in mathematical fields.
API Access
Has API
API Access
Has API
Integrations
Hugging Face
MSIGHTS
Microsoft Azure
Microsoft Foundry
Microsoft Foundry Models
Integrations
Hugging Face
MSIGHTS
Microsoft Azure
Microsoft Foundry
Microsoft Foundry Models
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Olive
Founded
2012
Country
United States
Website
oliveai.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/blog/one-year-of-phi-small-language-models-making-big-leaps-in-ai/
Product Features
Robotic Process Automation (RPA)
Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation
