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What is distil labs?

Distil Labs improves the efficiency of AI by replacing expensive calls to sophisticated models with custom small language models tailored for particular tasks, all while maintaining high-quality benchmarks. They analyze real production traffic and collect traces from current large language model requests to create a comprehensive evaluation set that reveals genuine workload characteristics. Subsequently, the company develops and validates synthetic training data, ensuring that its distribution aligns with the desired workload, and employs supervised fine-tuning in conjunction with reinforcement learning techniques. Once the model is quantized, an optimized endpoint is created to support its deployment. The results are rigorously compared to the existing model in terms of accuracy, latency, and overall efficiency, offering teams the information necessary to decide when to scale up traffic. Furthermore, the OpenAI-compatible endpoint incorporates a specialized small language model, prompt optimization, efficient caching, and enhanced serving tailored for specific applications, thereby guaranteeing optimal performance. By adopting this thorough methodology, organizations are empowered to fully leverage the capabilities of their AI solutions, ultimately driving greater innovation and effectiveness within their operations.

What is Phi-2?

We are thrilled to unveil Phi-2, a language model boasting 2.7 billion parameters that demonstrates exceptional reasoning and language understanding, achieving outstanding results when compared to other base models with fewer than 13 billion parameters. In rigorous benchmark tests, Phi-2 not only competes with but frequently outperforms larger models that are up to 25 times its size, a remarkable achievement driven by significant advancements in model scaling and careful training data selection. Thanks to its streamlined architecture, Phi-2 is an invaluable asset for researchers focused on mechanistic interpretability, improving safety protocols, or experimenting with fine-tuning across a diverse array of tasks. To foster further research and innovation in the realm of language modeling, Phi-2 has been incorporated into the Azure AI Studio model catalog, promoting collaboration and development within the research community. Researchers can utilize this powerful model to discover new insights and expand the frontiers of language technology, ultimately paving the way for future advancements in the field. The integration of Phi-2 into such a prominent platform signifies a commitment to enhancing collaborative efforts and driving progress in language processing capabilities.

Media

Media

Integrations Supported

Airtrain
Axolotl
Database Mart
GPT-5.4 nano
Gemini 2.0 Flash-Lite
LLaMA-Factory
LM-Kit.NET
Microsoft Azure
NativeMind
Oumi
Private LLM
Runpod

Integrations Supported

Airtrain
Axolotl
Database Mart
GPT-5.4 nano
Gemini 2.0 Flash-Lite
LLaMA-Factory
LM-Kit.NET
Microsoft Azure
NativeMind
Oumi
Private LLM
Runpod

API Availability

Has API

API Availability

Has API

Pricing Information

$0.04 per 1M tokens
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

distil labs

Date Founded

2024

Company Location

Germany

Company Website

www.distillabs.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

microsoft.com

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