Build an AI Math & Physics Agent with DeepSeek v3.2
Blog post from Stream
DeepSeek has unveiled its latest model, DeepSeek-V3.2, which is now accessible through OpenRouter and offers advanced capabilities for real-time, voice-enabled math and physics problem-solving and explanation. This open-source reasoning model uses DeepSeek Sparse Attention to efficiently handle long-context scenarios, maintaining output quality comparable to its predecessor, DeepSeek-V3.1-Terminus. Demonstrating its agentic capabilities, the model can solve vector addition problems and verbally explain the process using natural language. Users can build a similar agent using the Vision Agents framework with API integrations from Stream, OpenRouter, and ElevenLabs to create a real-time voice AI tutor specialized in math and physics. The setup involves configuring API keys and running a Python script to initiate the agent, which facilitates interaction through a simple video call interface. This system combines powerful voice AI services and LLMs with a mature WebRTC infrastructure, providing efficient and low-latency performance.