MXFP4 Quantization Explained: The Microscaling Format Behind 2026 Inference
MXFP4 is the quantization format powering 2026 inference on NVIDIA Blackwell, AMD MI355X, and Intel Gaudi 3. What it does, why it works, and what it costs.
9 min read
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AI Voice Agent Insights & Guides
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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On-Device Voice LLMs: Apple Intelligence, Gemini Nano, and the Privacy Angle
On-device voice LLMs are now real. What Apple Intelligence, Gemini Nano, and Phi-4 ship in 2026 — and what they cannot do yet.
8 min read
OpenAI Realtime API: How CallSphere Ships Faster Than Vapi
Direct OpenAI Realtime + Agents SDK = thinner stack vs Vapi's vendor middleware layer. CallSphere ships voice agents in days, not sprints.
9 min read
The Orchestrator-Worker Pattern: Anthropic's Research Architecture Explained
Anthropic's published multi-agent research architecture is a clean orchestrator-worker design. What it does, why it works, and how to adapt it.
9 min read
Paged Attention and Its Descendants: Memory-Efficient LLM Serving in 2026
PagedAttention launched a family of memory-management techniques that make modern LLM serving possible. The 2026 descendants and what they fix.
8 min read
Post-Training Pipeline 2026: SFT, DPO, GRPO, and the Rise of Verifiable Rewards
The 2026 LLM post-training stack — SFT, DPO, RLHF, GRPO, RLVR. What each step does, when to use it, and what frontier labs do differently.
9 min read
Pre-Wired CRMs (Salesforce/HubSpot): CallSphere vs Vapi Integration Lift
CRM integration for the Sales platform: Salesforce + HubSpot pre-wired in CallSphere. Vapi makes you build it. Field mapping, sync, and lead score push.
13 min read
Real-Time ASR in 2026: Whisper-V4, Deepgram Nova-4, and AssemblyAI Universal-2
The three real-time ASR engines competing for production voice-agent traffic in 2026, benchmarked on accuracy, latency, and cost.
9 min read
Self-Correcting Agents: Reflexion, CRITIC, and ReAct Loops Compared
Three self-correction patterns dominate 2026 agent design. Side-by-side analysis of where each one wins, where each one fails, and how to combine them.
8 min read
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