INTENT ANALYTICS
Enterprise Intent Analytics for AI Workloads
A sample framework for identifying request intent and examining how AI usage differs across applications, teams, and sessions.
¥50,000
RESEARCH REPORTS
研究报告
围绕意图理解、模型路由与能力评估，探讨企业应用大模型时需要回答的关键问题。
PUBLICATIONS
专题报告
5 项研究主题
INTENT-AWARE ROUTING
Intent-Aware Model Routing: A Practical Design Framework
Explores how task semantics, policy constraints, cost, and latency can inform model selection and fallback decisions.
¥50,000
LLM EVALUATION
Benchmarking Large Language Models for Enterprise Tasks
Outlines a task-based evaluation approach covering answer quality, reliability, response time, and cost.
¥50,000
SESSION ANALYSIS
Detecting Intent Drift in Multi-Turn AI Sessions
Examines changes in user intent across a conversation and the signals useful for review and risk analysis.
¥50,000
MULTIMODAL EVALUATION
Evaluating Multimodal Models Across Text, Image, and Video
Presents an example evaluation framework for comparing capabilities, failure cases, and measurement limits across modalities.
¥50,000