It finally knows what it's talking about ...
In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and ...
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During a recent penetration test, we came across an AI-powered desktop application that acted as a bridge between Claude (Opus 4.5) and a third-party asset management platform. The idea is simple: ...
In the context of LLM-powered applications, observability extends far beyond uptime or system health; it is about gaining real-time insight into model behavior, monitoring performance, managing risk ...
As businesses move from trying out generative AI in limited prototypes to putting them into production, they are becoming increasingly price conscious. Using large language models (LLMs) isn’t cheap, ...
GLM-5-Turbo is a Z.ai LLM built for OpenClaw. Learn what it is, how it works with tools and skills, and why its speed and ...
Learn how Zero Trust, CBAC, and microsegmentation reduce prompt injection risks in LLM environments and secure data across the full stack.