Public cases
Projects
A quiet index of public GitHub repositories, README-based boundaries, architecture reading paths, and learning takeaways.
6 / 6 items
- 01Open case
AI / Azure / Agent
Customer Service Agent
A Microsoft Foundry customer-service demo described by its README: a React workbench connects through a FastAPI BFF to a Hosted Agent, with Azure Container Apps, Entra identity, Azure Table Storage sessions, and ticket-style handoff framing the end-to-end study.
Boundary
Public code / learning case / README-based description; not running on this site
- 02Open case
AI / Multimodal
OpenAI Practical Examples
A practical examples repository for text, vision, image generation, asynchronous video workflows, speech recognition, and TTS. It works as an API capability map, while model availability, credentials, and billing are configured off-site.
Boundary
Public code / learning case / README-based description; not running on this site
- 03Open case
AI / RAG
Amazon Multimodal RAG Assistant
The README describes a RAG learning project for product text and image retrieval: CLIP embeddings, ChromaDB, FastAPI, and GPT or local models.
Boundary
Public code / learning case / README-based description; not running on this site
- 04Open case
ML / Python
Recommendation Algorithm
The public README describes this Python learning repository only as Recommendation Algorithm. This site lists it as a recommendation-systems entry point without inferring unstated algorithm types, datasets, or metrics.
Boundary
Public code / learning case / README-based description; not running on this site
- 05Open case
ML / LLM / Healthcare
MedLLM
The public README describes a notebook project that trains a medical QA model with PubMedQA, MedQA-USMLE, and RLAIF ideas. This site explains the data, alignment, and evaluation concepts only from a learning perspective.
Boundary
Public code / learning case / README-based description; not running on this site
- 06Open case
AI / RAG / Python
UChicago RAG System
The public README describes a RAG system for PDF and HTML documents, with CLI and Streamlit usage, vector retrieval parameters, and OpenAI API configuration requirements.
Boundary
Public code / learning case / README-based description; not running on this site