Vinod Kurpad's Projects
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
An awesome README template to jumpstart your projects!
The fastai book, published as Jupyter Notebooks
Form Recognizer Toolkit (FRTK) provides a set of components and features to accelerate development based on Form Recognizer service.
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure
I2C device library collection for AVR/Arduino or other C++-based MCUs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Simple iOS app to collect data from CoreMotion sensors.
The Application uses CoreMotion and LocationManager to collect the data and saves it to a file that is transferred to the iPhone using WatchConnectivity
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
App to collect high-frequency tennis motion data from Apple Watch
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll