Mapping r/conspiracy via Vertex AI & BigQuery ML
Using Vertex AI and BigQuery ML to classify 1.2 million r/conspiracy posts with a teacher-student pipeline.
Using Vertex AI and BigQuery ML to classify 1.2 million r/conspiracy posts with a teacher-student pipeline.
Using Weights & Biases to track experiments and systematically improve a noisy regression model.
Building semantic search with embeddings to retrieve relevant results beyond literal keyword matches.
Building a retrieval-augmented chatbot for small-business information and exploring where RAG helps—and where it does not.
Fine-tuning a small language model on Snoop Dogg and Shakespeare to explore data preparation, tokenization, and causal language modeling.