by CPI Staff | Jul 28, 2026 | AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog, LLM
In this blog post Why Kimi K3’s Million-Token Context Needs Real-World Testing we will explain why giving an AI model more information can solve important business problems—and create expensive new ones. Many AI projects stall because the model receives only part of...
by CPI Staff | Jul 21, 2026 | AI for Business & AI Strategy, Blog, LLM, OpenAI
In this blog post How to Choose the Right GPT-5.6 Model for Your Business AI Workload we will explain how to avoid paying flagship prices for routine work—or choosing a cheaper model that creates expensive mistakes. Many businesses make model selection harder than it...
by CPI Staff | Jul 20, 2026 | AI for Business & AI Strategy, AI Vendor Selection & Implementation, Blog, LLM
In this blog post What Kimi K3 Matching Claude Opus 4.8 Really Means for Business AI we will explain why the latest model comparisons matter to business leaders—and why a strong benchmark result is not, by itself, a reason to change your AI platform. Many...
by CPI Staff | Jul 20, 2026 | AI for Business & AI Strategy, AI Vendor Selection & Implementation, Blog, LLM
In this blog post What Kimi K3 Matching Claude Opus 4.8 Means for AI Strategy we will explain why the arrival of another highly capable AI model matters to your costs, security and long-term technology plans. If your business has spent months assessing ChatGPT, Claude...
by CPI Staff | Apr 17, 2026 | AI, AI for Business & AI Strategy, AI Vendor Selection & Implementation, Anthropic, Blog, Claude, LLM, OpenAI
Every few months, the frontier model leaderboard shifts again. Anthropic’s Claude Opus 4.7 and OpenAI’s GPT-5.4 are the latest pair of heavyweights competing for enterprise budgets — and the decision is no longer just about benchmark scores. For Australian...
by CPI Staff | Feb 5, 2026 | Blog, LLM
In this blog post Detecting Backdoors in Open-Weight LLMs Practical Steps for Teams we will walk through a pragmatic approach to finding hidden “sleeper” behaviours in open-weight language models before they reach production. Detecting Backdoors in Open-Weight LLMs...
