Build a small sentiment classifier for Indonesian text: prepare labeled data, tokenize it, write a PyTorch training loop, and evaluate the model.
A working map of organizational knowledge and its tacit layer: how we define it, why it resists being written down, and how structured elicitation tries to bring it out.
Build a small Python retriever that searches meeting transcripts with embeddings, follows evidence-linked graph connections, and returns context with source references.
RAG quality is a causal chain, not one score. A detailed guide to retrieval, generation, citation, robustness, judge reliability, and task-level evaluation.
How ReAct, structured tool calling, and MCP fit together: a paper-grounded look at agent loops, tool interfaces, and the gap between valid calls and reliable outcomes.