Project structure of: spcl/graph-of-thoughts

• graph-of-thoughts Data analysis, visualization, and language modeling tools.
  • examples Interactive examples of data analysis and visualization.
    • doc_merge Efficient NDA merging with language models and redundancy handling.
      • doc_merge.py Efficient NDA merging with language model and redundancy handling.
      • plot.py Plot script, imports, sorts, plots boxplots and bars.
      • pure_documents.json Company-supplier agreement discussions, covering various aspects.
      • README.md Document merging methods comparison with debug logs.
    • keyword_counting Count country occurrences in text, generate dataset, and plot results
      • dataset_gen_countries.py Generate dataset for country occurrences using language model
      • plot.py Python script for plotting boxplots, bar charts from JSON data.
      • README.md Count frequency methods for countries in text
    • README.md Runnable examples for Graph of Thoughts package with standalone scripts and prompt files.
    • set_intersection Set intersection data tools and visualizations
      • dataset_gen_intersection.py Shuffles, generates sets, calculates intersections.
      • plot.py Boxplot generator for AI method results
      • README.md Set intersection data generator and visualizer.
      • utils.py Set intersection utility functions and test case.
    • sorting Sorting algorithms examples, Python, plotting, utilities.
      • plot.py Sorts, plots, customizes boxplots for sorting algorithms.
      • README.md Sorting algorithm examples in Python.
      • utils.py Sorting utility functions, list conversion and testing.
  • graph_of_thoughts Graph-of-thoughts engine with language models and operations.
    • controller Language model graph processing controller.
      • __init__.py Imports Controller class from package's controller module.
      • controller.py Graph processing controller for language models.
      • README.md Controller class manages graph execution with LLM, custom prompter, parser.
    • language_models Language model library with GPT-4, GPT-3.5, and Llama-2 support
      • __init__.py Imports language model classes from submodules
      • abstract_language_model.py Abstract Language Model Class Defined
      • chatgpt.py ChatGPT class for OpenAI's chat API, multi-response support.
      • config_template.json Language model configuration template
      • llamachat_hf.py LLaMA 2 model for text generation init.
      • README.md Language Models module for GPT-4, GPT-3.5, and Llama-2
    • operations Manage graph-of-thought operations with language models and helper classes.
      • __init__.py Imports classes for operations in graph-of-thoughts.
      • graph_of_operations.py Graph of Operations: Manages operation execution plans
      • operations.py Graph of Thoughts operations preservation.
      • README.md Manage thought operations with language models and helper classes.
      • thought.py Thought class: LLM operation, state, score.
    • parser Python language model response parsing abstract class library.
      • __init__.py Import Parser class from "parser" module for easier usage.
      • parser.py Abstract class with 3 parsing methods for language model responses using thought states and texts.
    • prompter Generate prompt models for language.
      • __init__.py Imports Prompter class from "prompter" module.
      • prompter.py Generate prompt language model.
  • paper ArXiv preprint data visualization scripts and plots.
    • plots.py Generate customized boxplots with Python and JSON data
    • README.md Unpack, execute plots.py for arXiv preprint data visualization
  • pyproject.toml Python package settings with Hatchling and entry point.
  • README.md GoT framework: Python language model for sorting and JSON graphs