AI, AI, and AI

Our interests include LLMs, machine learning models, neural networks, high performance computing, CUDA, IT product development, intercommunicating ecosystems, microapps, microservicess, molecular biology, astronomy, to name but a few.

Tidbits

AI in Healthcare: Applying LLMs on Clinical Notes

The following resources set the perfect stage for future research research in this area. CinicalBERT, BioBERT, and spaCY are a few of many NLP libraries used in extracting intelligence from the clinical notes. Due to complex nature of this task, the research is still in its infancy.
Extracting Medical Information From Clinical Text With NLP
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Machine Learning:Bias Variance Decomposition

Here are some interesting papers on this.
Bias-variance decomposition for classification and regression losses
MIT Paper
A Unified Bias-Variance Decomposition , University of Washington

LLM,Llama

How to Build a Chatbot
Foundation Models and LLMs: a Complete Guide
C/C++ Implementation of Llama

Linear Algebra: Vector Space and Subspace

...coming soon...

Neural Networks: Regularization

...coming soon...

Neural Networks: Quadratic Loss and Cross Entropy Loss

...coming soon...