Evaluating AI Pipelines: From LLMs to Real-World Impact
Evaluating AI Pipelines: From LLMs to Real-World Impact
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Evaluating AI Pipelines: From LLMs to Real-World Impact
Forward-looking analysis of the AI agent landscape in 2027 covering agent-to-agent economies, persistent agents, regulatory enforcement, hardware specialization, and AGI implications.
How to A/B test AI agents in production: traffic splitting, evaluation metrics, statistical significance, prompt version comparison, and architecture experiments.
Implementing an agent gateway with API key management, per-agent rate limiting, intelligent request routing, audit logging, and cost tracking for enterprise AI systems.
Billing and invoice questions often bounce between departments. Learn how AI chat and voice agents answer the common ones and route only real exceptions.
When fine-tuning beats prompting for AI agents: dataset creation from agent traces, SFT and DPO training approaches, evaluation methodology, and cost-benefit analysis for agentic fine-tuning.
Real MLOps and AI deployment interview questions from Google, Amazon, Meta, and Microsoft in 2026. Covers CI/CD for ML, model monitoring, quantization, continuous batching, serving infrastructure, and evaluation frameworks.
How protocols like Anthropic's MCP and Google's A2A enable agents to discover and interact with each other, creating agent marketplaces and service networks in 2026.
Navigate VFSC communication compliance for Vanuatu-licensed brokers — covering call recording, client onboarding disclosures, and APAC calling regulations.
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