Want to see how this thinking applies to your own system? See our maintenance service
Technical Sharing
Why does an AI grow costlier and more scattered the longer a conversation runs? Drawing on the latest research from Chroma, Anthropic, and others, this article breaks down four context-engineering strategies — sliding window, summarization (compaction), chunk offloading, and pinning key information — and how to combine them.
Technical Sharing
When user instructions are vague, an AI system that simply guesses produces a flood of wrong output. This article walks through intent classification, slot filling, the clarification loop, confidence thresholds, and prompt patterns—an engineering approach that makes the system clarify when uncertain instead of guessing.
Technical Sharing
A single AI agent in production occasionally gives absurd answers, freezes mid-task, or fails to call external services—usually with no clear error message to inspect. This article organizes the common failures into three symptom-cause-response lookup tables for hallucinations, API dependencies, and deadlocks, backed by measured data from Vectara, τ-bench, and AgentBench, so you can localize and stop the bleeding fast.
Technical Sharing
When the same prompt yields different output every run, downstream processes never dare to automate against it—and research confirms that example selection and ordering alone can swing accuracy from near random to near best. Drawing on the GPT-3 paper, ICML and ACL benchmark data, and Anthropic's official guidelines, this article shows how to run few-shot with real business examples: golden samples, count and ordering, dynamic retrieval, and regression acceptance that turn output quality into a measurable engineering problem.
AI Research
Bigger isn't always better. This article provides a practical framework for enterprises to evaluate AI model size, covering performance needs, cost considerations, and privacy requirements.
AI Research
This article analyzes four common strategies for adjusting Large Language Models (LLMs), helping you choose the most suitable customization method to avoid costly and low-return misinvestments.
AI Research
Understanding the AI Brain: How Do Large Language Models Operate? Have you ever had a conversation with ChatGPT? Or interacted with virtual assistants like Siri or Google on your smartphone? The technology behind these 'intelligent' features...
Need Help?
Click here to contact us!