InfoQ - Large language models - Articles

Article: LLM Reliability Layers Under Test: Accuracy, Yield, and the Limits of Verification

Pushpdeep Mishra, Wejdan Bagais — Tue, 10 Nov 2026 09:00:00 GMT

Verification layers sort outputs by trust rather than fixing errors. In a benchmark of six reliability layers, voting and self-correction failed to recover accuracy - they only withheld doubtful records. Production systems gain more reliability by replacing generation with deterministic lookups, tracking yield over raw accuracy, and resolving extraction bottlenecks before stacking checks.

By Pushpdeep Mishra, Wejdan Bagais

Article: Agentic AI Architecture: Current Challenges and Future Opportunities

Rafał Gancarz — Mon, 09 Nov 2026 10:52:00 GMT

Agentic AI architecture extends microservices and cloud-native architectures with AI agents that work with context, memory, and protocols such as MCP and A2A. The article covers bounded-context integration, task-dependent coordination strategies, new security risks, and observability needs. It expects gradual adoption alongside existing architectures, with platforms absorbing common components.

By Rafał Gancarz

Article: Systemic Approach to Memory, Knowledge, and Context in Agentic AI Architectures

Adi Polak — Mon, 02 Nov 2026 11:00:00 GMT

The article argues that reliable agentic AI architecture depends on a context engine that selects, injects, compresses, and expires information before it reaches the model. It separates context, memory, and knowledge, and recommends tiered memory, curated knowledge, and token budgeting. It also covers common anti-patterns, such as context stuffing and stale data loops, with mitigations.

By Adi Polak