THE ALEXANDRIA INDEX
🌐 Discover THE ALEXANDRIA INDEX 📚: Dive into a colossal AI tool embedding vast amounts of data with precision. With options to explore all from Arxiv papers to major religious texts, experience the power of knowledge at your fingertips. Join the journey to cultivate a digital encyclopedia! #AI #Knowledge #DataScience 🤖📖
- Embedding all papers on Arxiv.org by title using the InstructorXL model resulted in a download size of 6.5 GB.
- Embedding all papers on Arxiv.org by abstract using the InstructorXL model resulted in a download size of 7.6 GB.
- Embedding all major religious texts using the Ada-002 model required a download size of 20 GB.
- The upcoming options for embedding include all US cases from the Case Law Project, all patents on USPTO, all of English Wikipedia, and all repositories on Github.
- The download size estimation for embedding all US cases from the Case Law Project using the InstructorXL model is approximately 80 GB.
- The potential download size for embedding all patents on USPTO using the InstructorXL model is around 61 GB.
- Embedding all of English Wikipedia with the InstructorXL model would amount to a download size of about 22 GB.
- The goal of embedding all repositories on Github, which are numerous at 3.1 billion, is projected to have a download size of approximately 3.4 TB.
- Users can contribute by voting on what content they want embedded next, supporting the initiative, spreading the word, or donating.
- Potential partnerships are welcomed to build Alexandria, the platform envisioned for the future by The Macrocosm Consortium.