DeepSeek-R1: A Next-Generation Reasoning Model
Designed for complex tasks requiring advanced decision-making, DeepSeek-R1 pushes the boundaries of AI reasoning.
Advanced Reasoning Capabilities
Utilizes reinforcement learning to enhance reasoning, enabling it to perform complex tasks like mathematical problem-solving and coding. It employs chain of thought, consensus, and search methods to find optimal answers.
Mixture of Experts (MoE) Architecture
A massive 671 billion parameter MoE model. Each layer has 256 experts, with each token evaluated by 8 separate experts, promoting high inference efficiency.
Large Context Length
Supports an input context length of 128,000 tokens, enabling it to process and understand extensive information.
Test-Time Scaling
DeepSeek-R1 iteratively "thinks" to improve output quality by generating more tokens, enhancing the generation cycle.
High Performance on Reasoning Tasks
Achieves performance comparable to OpenAI-o1-1217 on reasoning benchmarks.
Multi-Platform Availability
Available on NVIDIA NIM (as a microservice), Azure AI Foundry (in the model catalog), GitHub, and Amazon SageMaker AI.
Safety and Security
Undergone safety evaluations, including security reviews and automated assessments. Integrates with Azure AI Content Safety for built-in content filtering.
Complex Task Execution
Suitable for any task requiring advanced decision-making and problem-solving.
Mathematical Problem-Solving
Leverages its reasoning abilities to tackle complex mathematical challenges.
Coding and Software Development
Assists in code generation, debugging, and understanding complex codebases.
Advanced Language Understanding
Processes and comprehends large amounts of text, enabling in-depth analysis and insights.
Getting Started with DeepSeek R1
- 1.
NVIDIA NIM
Access DeepSeek-R1 as an NVIDIA NIM microservice to build dedicated agents.
- 2.
Azure AI Foundry
Find DeepSeek-R1 in the model catalog on Azure AI Foundry for experimentation and integration.
- 3.
GitHub
Explore resources and guides for integration on the DeepSeek-R1 GitHub repository.
Experience the features of DeepSeek R1
