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Project Structure

└── DSPY_application/
    ├── dspy-learn
    │   ├── 01_basic_qa.py
    │   ├── 02_cot_qa.py
    │   ├── 03_pot_qa.py
    │   ├── 04_compare_different_prompt.py
    │   ├── 04_metric.py
    │   ├── 05_few_shot_qa.py
    │   ├── 06_rag_qa_api.py
    │   ├── 06_retrieve_api.py
    │   ├── 06_retrieve_default.py
    │   ├── 06_save_emb2chromadb_api.py
    │   ├── 06_save_emb2chromadb_default.py
    │   ├── 07_multi_hop_qa_with_assertion.py
    │   ├── 08_react_qa.py
    │   ├── GLM.py
    │   ├── __pycache__
    │   ├── airbnb-2023-10k-qca.json
    │   ├── chromadb_data
    │   ├── gsm8k_data
    │   ├── metrics.py
    │   ├── output
    │   └── util.py
    └── dspy-project
        ├── DOTS
        ├── KnowledgeTracing
        ├── data
        ├── local_llm
        └── remote_llm

Getting Started

Prerequisites

Before getting started with DSPY_research, ensure your runtime environment meets the following requirements:

  • Programming Language: Python
  • Require Packages: dspy

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Learning and Application of DSPY Framework

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