Knowledge Distillation: Teaching Smaller AI Models to Think Smarter
Knowledge Distillation: Teaching Smaller AI Models to Think Smarter
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Knowledge Distillation: Teaching Smaller AI Models to Think Smarter
GPT-Realtime-Translate launched with 70 input and 13 output languages. CallSphere ships 57+ on day one — here's what that means for real estate brokerages.
Using GPT-Realtime-2 for healthcare voice agents. BAA scope, PHI handling, retention, logging, and why a managed platform usually wins this build.
Five proven multi-agent architecture patterns built on A2A — orchestrator, peer mesh, hub-and-spoke, marketplace, and tiered specialist.
Anthropic's expanded public beta adds sub-agent coordination and rubric-based evaluation. The actual mechanics and what it means for production AI systems.
Amazon's Hear the Highlights now answers questions while you listen — what the voice shopping pattern means for e-commerce and AI voice strategy.
Deploy GPT-Realtime-2 on Azure AI Foundry. Region availability, networking, data residency, BAA, and the gotchas teams hit in the first 48 hours.
How to design a multi-agent system using MCP for tools and A2A for cross-vendor coordination, with a CallSphere voice agent as a participating node.
The voice AI market hits $47.5B by 2034. For gyms and PT studios, voice agents now make economic sense for member intake, upsells, and reactivation campaigns.
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