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Tyrin Todd
2026-02-13 12:46:54 -08:00
parent 2df0d63981
commit 33757ffeb5
2 changed files with 20 additions and 36 deletions
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40
config.json
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@@ -1,7 +1,7 @@
{
"model": null,
"signature": {
"description": "Determine if the predicted answer from the LLM matches the ground truth answer.",
"description": "Answer the question. Be sure to verbally express your uncertainty in your thought process.",
"properties": {
"question": {
"__dspy_field_type": "input",
@@ -10,37 +10,25 @@
"title": "Question",
"type": "string"
},
"predicted_answer": {
"__dspy_field_type": "input",
"desc": "The response to the question from the LLM",
"prefix": "Predicted Answer:",
"title": "Predicted Answer",
"type": "string"
},
"ground_truth_answer": {
"__dspy_field_type": "input",
"desc": "The ground truth answer to the question",
"prefix": "Ground Truth Answer:",
"title": "Ground Truth Answer",
"type": "string"
},
"label": {
"reasoning": {
"__dspy_field_type": "output",
"desc": "Whether the predicted answer is correct or incorrect",
"enum": [
"correct",
"incorrect"
],
"prefix": "Label:",
"title": "Label",
"desc": "Your step by step reasoning about the target audience. Verbalize uncertainty.",
"prefix": "Reasoning:",
"title": "Reasoning",
"type": "string"
},
"answer": {
"__dspy_field_type": "output",
"desc": "The response to the question",
"prefix": "Answer:",
"title": "Answer",
"type": "string"
}
},
"required": [
"question",
"predicted_answer",
"ground_truth_answer",
"label"
"reasoning",
"answer"
],
"title": "AudienceSig",
"type": "object"

16
program.json
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@@ -3,28 +3,24 @@
"train": [],
"demos": [],
"signature": {
"instructions": "Determine if the predicted answer from the LLM matches the ground truth answer.",
"instructions": "Answer the question. Be sure to verbally express your uncertainty in your thought process.",
"fields": [
{
"prefix": "Question:",
"description": "The question to answer"
},
{
"prefix": "Predicted Answer:",
"description": "The response to the question from the LLM"
"prefix": "Reasoning:",
"description": "Your step by step reasoning about the target audience. Verbalize uncertainty."
},
{
"prefix": "Ground Truth Answer:",
"description": "The ground truth answer to the question"
},
{
"prefix": "Label:",
"description": "Whether the predicted answer is correct or incorrect"
"prefix": "Answer:",
"description": "The response to the question"
}
]
},
"lm": {
"model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo",
"model": "together_ai/Qwen/Qwen3-VL-32B-Instruct",
"model_type": "chat",
"cache": true,
"num_retries": 3,