IBM

Scalable enterprise AI adoption hinges not on LLMs alone but on 'agent logic'—software primitives like knowledge graphs and program analysis that guide LLMs to execute tasks precisely, cutting token usage by 30x while boosting accuracy.

2026 will be the year of AI Harness. Using engineering methods like guardrails, validation, and automation processors, unreliable AI Agents can be transformed into stable, controllable systems without modifying Prompts, marking key infrastructure for AGI.

ITBench-AA is a new benchmark series evaluating models on agentic enterprise IT tasks, starting with Site Reliability Engineering tasks where frontier models score below 50% on ITBench-AA's SRE tasks benchmark model performance on Kubernetes incident response, where models and agents must diagnose live systems by reading logs, tracing dependencies, and identifying root-cause entities across complex infrastructure.

AI harnesses are key tools for ensuring system reliability.

市场结束动作可以通过合并竞争对手、收购关键供应商、签订关键分销协议等方式来赢得市场。

This article systematically explains the protocol, definitions, and error handling of tool calling in AI agents, emphasizing the importance of the tool layer in production environments.

Yielding at crosswalks does not constitute traffic command and should not bear liability for compensation. False information and marketing strategies exploiting public anxiety on social media need to be警惕ed. Trust and kindness are important lubricants for maintaining social order and interpersonal relationships.

IBM proposed eliminating the TAB key navigation function but failed to gain support due to lack of practical significance and user demand.