Welcome to Bio Protocol 🧬, your gateway drug to decentralized science. We're pioneering the intersection of AI, biotechnology, and blockchain to democratize scientific research and innovation.
At Bio Protocol, we're a team of AI engineers and researchers dedicated to building open-source tools that accelerate decentralized science. Our work focuses on leveraging advanced AI techniques to make scientific data more accessible, verifiable, and collaborative. We blend cutting-edge machine learning with blockchain principles to create transparent, reproducible pipelines for research.
Our mission is to empower scientists, developers, and enthusiasts worldwide to contribute to a decentralized ecosystem where knowledge isn't siloed but shared freely under open licenses like MIT.
We specialize in AI-driven solutions for scientific workflows. Here are some of our key initiatives:
RAG Pipelines: Implementing retrieval-augmented generation (RAG) systems inspired by OpenScholar to enhance knowledge retrieval from vast scientific literature. These pipelines enable efficient querying and synthesis of research data.
LLM Training: Fine-tuning and training large language models (LLMs) tailored for biotech applications, such as analyzing genetic sequences, predicting protein structures, or automating literature reviews.
PDF Miner ML Models: Developing machine learning models for extracting structured data from scientific PDFs. These tools help parse complex documents, extract tables, figures, and text, making them machine-readable for downstream AI tasks.
Explore our repositories on Hugging Face for models, datasets, and code you can use or contribute to.