## More Links 1. https://github.com/geniusrise/geniusrise https://github.com/geniusrise/geniusrise - core framework 2. https://github.com/geniusrise/geniusris

## More Links 1. https://github.com/geniusrise/geniusrise https://github.com/geniusrise/geniusrise - core framework 2. https://github.com/geniusrise/geniusrise-huggingface https://github.com/geniusrise/geniusrise-huggingface - hf modules 3. https://github.com/geniusrise/geniusrise-openai https://github.com/geniusrise/geniusrise-openai - openai modules 4. https://github.com/geniusrise/geniusrise-listeners https://github.com/geniusrise/geniusrise-listeners - streaming data input 5. https://github.com/geniusrise/geniusrise-databases https://github.com/geniusrise/geniusrise-databases - database input 6. https://github.com/geniusrise/geniusrise-prompt-actions https://github.com/geniusrise/geniusrise-prompt-actions - functional integrations (RAG-able and GPT function call-able, WIP) 7. https://github.com/geniusrise/geniusrise-indexing https://github.com/geniusrise/geniusrise-indexing - vectorizing for RAG usecases (WIP) 8. https://github.com/geniusrise/geniusrise-exit-proxy https://github.com/geniusrise/geniusrise-exit-proxy - cached LLM interface with MITM-auditing (WIP) ## Asides I think the core framework can be AGPL but the modules must be MIT / Apachev2. I really wanted to create an elaborate example in the guides but could not find time, - something like load and vectorize SNOMED-CT or UMLS and use it to NER / RAG EHR docs. Or maybe a usecase of doctor communicating to patient in another language (a major problem in India), with reverse translation verifying translated output using the KG. These kinds of stuff are soon to come. Or discourse segmentation for better chunking for RAG usecases. I'm not sure if I should add cyberpunk-ed scientists as banner images. I tried with mathematicians like Voevodsky to Andre Joyal to John Baez, but couldn't. Actual geniuses tend to not be famous, hence SDXL fails I guess. I plan to also write this framework in scala. The category-theorizing of neural networks is amazing!!! https://github.com/bgavran/Category_Theory_Machine_Learning https://github.com/bgavran/Category_Theory_Machine_Learning. I hope Bartosz Milewski approves. I love Alan Turing, but cuz of "The Chemical Basis of Morphogenesis". It introduced me to the wonderful world of complex systems. Hence, his image as banner. I'm also working on a cli library called "isomorphic", wraps over argparse and provides cli, api, yaml, json interfaces. Yes, gradio integration is also underway. Finally, to huggingface.