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Average Ratings 0 Ratings
Description
Microsoft Frontier Tuning enables businesses to tailor one or multiple of Microsoft’s leading MAI models to fit their specific operational requirements, allowing for training in a secure setting rather than depending on a standard AI model. The customization process begins by outlining the objectives and criteria for success, followed by integrating data, workflows, and insights gathered from Microsoft 365 and other sources. Continuous improvement is achieved through ongoing training and iterative refinement, with the model being deployed in platforms like Microsoft Foundry or Copilot, where it can enhance itself based on actual usage patterns. This innovative approach ensures that the models are well-versed in the organization’s terminology, context, processes, and expertise while maintaining strict privacy and security for all data within the client’s ecosystem. Additionally, Microsoft Frontier Tuning empowers teams with greater control over their models, minimizes the risks of vendor lock-in, and maximizes the return on investment by providing cutting-edge performance paired with exceptional token efficiency. As a result, organizations can expect to see enhanced operational effectiveness and a stronger alignment with their unique business strategies.
Description
Distil Labs enhances AI performance by substituting costly calls to advanced models with tailored small language models designed for specific tasks while ensuring the quality standards are upheld. By monitoring real production traffic and gathering traces from current LLM requests, it constructs an evaluation set to gain insights into actual workload behavior. Following this, the company creates and verifies synthetic training data, aligns the data distribution with the intended workload, and engages in supervised fine-tuning alongside reinforcement learning. The model is then quantized, and an optimized endpoint is established. The outcomes are systematically assessed against the existing model concerning accuracy, latency, and efficiency, providing teams with data to determine when to increase traffic. Ultimately, the OpenAI-compatible endpoint features a specialized small language model, prompt optimization, effective caching, and refined serving tailored for the specific application, ensuring maximum performance. This comprehensive approach allows organizations to maximize the potential of their AI implementations.
API Access
Has API
API Access
Has API
Integrations
GPT-5.4 nano
Gemini 2.0 Flash-Lite
Microsoft Azure
Microsoft Copilot
Microsoft Foundry
Integrations
GPT-5.4 nano
Gemini 2.0 Flash-Lite
Microsoft Azure
Microsoft Copilot
Microsoft Foundry
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.04 per 1M tokens
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
Microsoft AI
Founded
2024
Country
United States
Website
microsoft.ai/models/microsoft-frontier-tuning/
Vendor Details
Company Name
distil labs
Founded
2024
Country
Germany
Website
www.distillabs.ai/