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Achievement: YOLOAchievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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@NoobNLP

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fairyshine/README.md

I Hi there 👋

I am interested in machine learning and specialize in NLP and multimodality.

II Software 🎯

Python 🐍

- WillMindS.AI

Efficiently set up your experimental environment with features such as logging, parameter management, code backup, and algorithms.

https://github.com/fairyshine/WillMindS.AI

- FastMindAPI

An easy-to-use, high-performance(?) backend for serving LLMs and other AI models, built on FastAPI.

https://github.com/fairyshine/FastMindAPI

III Research 🔍

Methodology 🚀

- TableEE

Doc Event Extraction method for documentray with tables.

https://github.com/fairyshine/TableEE

- Chain-of-Tools

Calling massive external tools efficiently during inference with frozen LLMs.

https://github.com/fairyshine/Chain-of-Tools

Dataset 📄

- Seal-Tools

Tool Learning Dataset for fine-tuning and benchmark.

https://github.com/fairyshine/Seal-Tools

IV Coding Stats 💻

fairyshine's GitHub stats

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  1. Seal-Tools Seal-Tools Public

    The source code and dataset mentioned in the paper Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark.

    Python 52 6

  2. Chain-of-Tools Chain-of-Tools Public

    The official implementation of the paper "Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models".

    Python 85 13

  3. FastMindAPI FastMindAPI Public

    An easy-to-use, high-performance(?) backend for serving LLMs and other AI models, built on FastAPI.

    Python 1

  4. WillMindS.AI WillMindS.AI Public

    Explore to building the intelligence easily! It's based on Torch, Transformers, etc.

    Python 2