Quantization-Aware Training in PyTorch: FP4, INT8, and BF16 Mixed
QAT is how you get small models without quality regressions. The 2026 PyTorch patterns for FP4, INT8, and BF16 mixed-precision training.
7 min read
Archive page 607 of 1224
AI Voice Agent Insights & Guides
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Translating Business Requirements Into AI Agent Specifications
How to convert vague stakeholder asks into agent specs engineers can build from. The 2026 templates and discovery questions.
7 min read
AI for ITSM: ServiceNow, Jira, and Intelligent Ticket Routing
Ticket routing, summarization, and resolution assistance in ITSM platforms. The 2026 patterns from real ServiceNow and Jira deployments.
8 min read
Apple Neural Engine + WhisperKit for On-Device Voice (M4/M5 Era, 2026)
Whisper Large v3 Turbo on Apple Neural Engine via WhisperKit hits sub-100ms streaming on iPhone 15 Pro. M5 delivers 4× faster AI inference. Build a fully on-device voice agent for iOS.
11 min read
SMB Founder Playbook: Sierra's Latest Round and the State of CX Agents
SMB Founder Playbook perspective on Sierra's funding momentum signals the customer-experience agent category has crossed from experiment to enterprise budget line.
9 min read
Deploy a Voice Agent on fly.io with Multi-Region Routing
fly.io runs voice agents close to every user. Real working fly.toml, Pipecat in Docker, and fly-replay for sticky WebSocket sessions across 35 regions.
12 min read
Live Agent Handoff Done Right: Context Transfer in 2026
Handoffs from AI to human agents drop more conversations than they save when designed badly. The 2026 patterns for clean context transfer.
8 min read
Healthcare Practice Use Case: Perplexity Comet — The Agentic Browser Goes Mass Market
Healthcare Practice Use Case perspective on Comet's general-availability launch put an agentic browser in front of millions of consumers, and it works better than the demos suggested.
9 min read
Cold Start vs Warm Inference: Latency Engineering for LLMs
Cold-start latency hurts user experience invisibly. The 2026 patterns for keeping inference warm, pre-warming pools, and managing the trade-off.
7 min read
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