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LLM (OpenAI), Notebooks Tree and Libraries

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@dvorka dvorka released this 16 Feb 17:07
· 14 commits to dev/2.0.0 since this release

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This major MindForger release brings large language models integration, notebooks tree and libraries:

  • Wingman:
    • Wingman is MindForger's integration with (OpenAI) large language models which brings note-taking and knowledge management to the next level. MindForger newly allows you to easily expand your notes and knowledge by leveraging the power of artificial intelligence. Whether you need to prepare a plan, write an in-depth analysis, draft a blog post, or simply generate ideas. Large language model can fix grammar, translate, write, reformulate summarize, suggest synonyms and antonyms, and much more. You can effortlessly generate high-quality content, and enhance the organization of your knowledge.
  • Notebooks tree:
    • With Notebooks tree, you can organize notebooks in a tree (outline) just like notes in notebooks.
    • By using a tree-like structure, you can organize your notebooks in a logical and hierarchical manner, similar to how folders and subfolders organize files on a computer. This allows you to break down your knowledge into smaller, more manageable chunks and helps you find and access specific information easily.
    • Structuring notebooks to form a tree promotes better organization and clarity. You can create a top-level notebook, representing a broad topic or category, and then create sub-notebooks within it to represent more specific subtopics or subcategories. This hierarchical arrangement enables you to maintain a clear overview of your knowledge and facilitates navigation within your notebooks.
  • Libraries:
    • Library (directory with files) bring ability to index external PDF files and generate Notebooks which represent them in MindForger.
    • The notebook representing the PDF allows easy access to the PDF notebook. Notebook can be used to write ideas, thoughts and remarks related to the PDF document.
    • Synchronization of the library is supported as well.
  • Web search
    • Find knowledge for a term under the cursor, selected in the text or notebook/note name, on the internet: Wikipedia, arXiv, GitHub, or StackOverflow.
  • Fixes and enhancements:

May you do good, not evil.


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