hist0613 / humanlessai

1. Manage Everything That Matters. 2. Collaborate Widely, Automate Wisely. 3. Share and Inspire.

HumanLessAI

"Don't be afraid to restart, if there is a better way."

Overview

Just remember the following things, to get involved in this project:

• Manage Everything That Matters
  • Convert all factors capable of influencing model behavior into readable & executable configurations.
  • e.g., dataset versioning, data preprocessing logic updates, adjustments in loss functions, learning rates, evaluation protocols, etc.
• Collaborate Widely, Automate Wisely
  • Amplify your efforts through collaboration, not only with humans, but also with AI.
  • e.g., AI-driven research discussion, auto commenting workflow, AI-based consistency check on logic implementations, automatic cloud launching, automatic tutorial generation, etc.
• Share and Inspire
  • Make your small experiments known and find significance in even the minor discoveries. Inspire and be inspired by allowing more people to connect with your vision and imagination.
  • e.g., technical blogs, seminars, paper publications, open discussions, participating in academic reviews, etc.

Key Features (TBU)

• Dynamic Configuration Tracking
  • Ensure that the variable factor between two experiments is unique.
  • Help to explore, compare, and collapse super complex configurations.
  • Draw a successful experiment as a path in the tree of configurations.
• AI Software Engineer
• Experimental Hub

Plans

• MBTI of LLMs
• arXiv HTML (experimental) page translator: Chrome extension
• Practical readme.md generator for huggingface models
• Mining unreached questions
• GPT/Claude/Gemini-based code review and research discussion.
• Pre-training of BERT, RoBERTa, Longformer, GPT, and T5.
• Fine-tuning of machine translation models with state-of-the-art LLMs.
• 1M context length fine-tuning method.
• GPT-based data augmentation.
• arXiv Korean summarization with EEVE.
  • It cannot be used instead of GPT-4.
• Participating challenges
  • EXALT@WASSA 2024

humanlessai's Issues

ai agent 로 개발을 하자

github 기반의 ai application 이 있으면 좋지 않을까?

1. 새로 작성된 github issue 에 대한 feedback
2. PR 로 올라온 코드 및 그 내용에 대한 interactive feedback
3. 프로젝트의 사용법 등 documentation 생성
4. 코드 내용에 기반해서 code의 readability 혹은 algorithm efficiency에 대한 개선 사항 이나 새로운 feature 건의

template 거슬리니까 빼버리자

무슨 bug report 랑 feature request 를 구분하고 있나