Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/zanzythebar/ai-helpers
https://github.com/zanzythebar/ai-helpers
Last synced: 5 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/zanzythebar/ai-helpers
- Owner: ZanzyTHEbar
- Created: 2024-05-27T16:53:20.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-08-14T17:38:10.000Z (3 months ago)
- Last Synced: 2024-10-10T21:13:33.582Z (26 days ago)
- Size: 41 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# AI-Helpers
This repository contains helpers for AI projects. The goal is to provide a set of patterns and strategies that can be used to build AI projects faster and more efficiently. The repository is divided into several sections, each section contains a set of tools that can be used for a specific task. The sections are:
- [RAG Strategies](RAG-strategies.md)
- [GenAI Pipeline](genai-pipeline.md)
- [Costs](costs.md)
- [Advanced Patterns](patterns.drawio)
## Contributing
If you would like to contribute to this repository, please create a pull request with your changes. The changes will be reviewed and merged if they are deemed to be useful.
## License
This repository is licensed under the MIT license. See the [LICENSE](LICENSE) file for more information.
## Research Papers
- [RAG: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/abs/2005.11401)
- [An LLM Compiler for Parallel Function Calling](https://arxiv.org/abs/2312.04511)
- [Lost in the Middle: How Language Models Use Long Contexts](https://arxiv.org/abs/2307.03172)
- [Matryoshka Representation for Learning](https://arxiv.org/abs/2205.13147)
- [LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models](https://arxiv.org/abs/2310.05736)
- [Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity](https://arxiv.org/abs/2403.14403)
## AI Tools
- [vsphere](https://www.vmware.com/products/vsphere/ai-ml.html)
- [PCB Component Detection](https://github.com/s39674/PCB-Component-Detection)
- [Image2Schematic](https://github.com/s39674/Image2schematic)
## Tools
- [SiliWiz](https://tinytapeout.com/siliwiz/introduction/)
## Documentation Tools
- [Mermaid](https://mermaid-js.github.io/mermaid/#/)
- [Draw.io](https://app.diagrams.net/)
- [Markdown](https://www.markdownguide.org/)
- [GitHub]()