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A bulk evaluator workflow that compares AI-generated answers (copilot responses) to a set of golden reference answers. Requires input data columns: "input_prompt" (the question/task) and "reference_answer" (the ideal response). The workflow uses custom evaluation prompts to compare outputs, scoring them for accuracy and penalizing hallucinations. Aggregates results to provide an overall performance metric for your AI answers.
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17d ago
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GPT-5.4
GLM 5.1
Apertus 70B Instruct • in🇨🇭
Qwen 3.7 Max
Qwen3.6 Plus
o4-mini Thinking
o4-mini
o3
GPT-Realtime 2
GPT-Realtime 1.5
GPT-5 Chat
GPT-5.5 (Thinking)
GPT-5.4 Nano
GPT-5.4 Mini
GPT 5.2 Thinking
GPT-4o Mini
GPT-4o
NVIDIA Nemotron 3 Ultra
Kimi K2.6
Mistral Small 4
Mistral Medium 3.5
Mistral Medium 3.1
Mistral Large 3
Ministral 3 14B
MiniMax M3
MiniMax M2.7
Gemini 3 Flash
Gemini 3.5 Flash
Gemini 3.1 Pro Preview
Gemini 3.1 Flash-Lite
DeepSeek V4 Pro
Claude 4.8 Opus
Claude 4.7 Opus
Claude 4.6 Sonnet
SEA-LION v4
AgriLLM Qwen-3 30B
mean
median
min
max
sum
cumsum
prod
cumprod
std
var
first
last
count
cumcount
nunique
rank
Add an Aggregation
⚙️ Settings
Run cost = 30 credits
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