server-inference push yelp
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43
config.json
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43
config.json
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{
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"model": null,
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"signature": {
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"description": "Predict the Yelp star rating (1-5) for a single review.\nConsider overall sentiment, intensity, concrete complaints/praise,\nand whether the reviewer would likely revisit/recommend. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.",
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"properties": {
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"text": {
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"__dspy_field_type": "input",
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"desc": "A Yelp review text.",
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"prefix": "Text:",
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"title": "Text",
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"type": "string"
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},
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"reasoning": {
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"__dspy_field_type": "output",
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"desc": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant.",
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"prefix": "Reasoning:",
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"title": "Reasoning",
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"type": "string"
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},
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"rating": {
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"__dspy_field_type": "output",
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"desc": "Predicted Yelp star rating on a 1-5 scale.",
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"enum": [
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"1",
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"2",
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"3",
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"4",
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"5"
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],
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"prefix": "Rating:",
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"title": "Rating",
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"type": "string"
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}
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},
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"required": [
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"text",
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"reasoning",
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"rating"
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],
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"title": "RatingJudgeSig",
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"type": "object"
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}
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}
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40
program.json
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40
program.json
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{
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"traces": [],
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"train": [],
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"demos": [],
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"signature": {
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"instructions": "Predict the Yelp star rating (1-5) for a single review.\nConsider overall sentiment, intensity, concrete complaints/praise,\nand whether the reviewer would likely revisit/recommend. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.",
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"fields": [
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{
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"prefix": "Text:",
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"description": "A Yelp review text."
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},
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{
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"prefix": "Reasoning:",
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"description": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant."
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},
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{
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"prefix": "Rating:",
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"description": "Predicted Yelp star rating on a 1-5 scale."
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}
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]
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},
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"lm": {
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"model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo",
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"model_type": "chat",
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"cache": true,
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"num_retries": 3,
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"finetuning_model": null,
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"launch_kwargs": {},
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"train_kwargs": {},
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"temperature": null,
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"max_tokens": null
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},
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"metadata": {
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"dependency_versions": {
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"python": "3.11",
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"dspy": "3.1.3",
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"cloudpickle": "3.1"
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}
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}
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}
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