Budget-aware context compilation and context firewall for tool-heavy AI agents.
Automated pipeline to transcribe lecture audio with Whisper, generate structured Markdown notes using LLMs, and create multiple-choice quizzes. Model-agnostic, with automatic token budgeting for long recordings.
Experiments in analyzing the correlation and effects of token budgets on a language model's ability to reason and generate accurate responses.
Add a description, image, and links to the token-budgeting topic page so that developers can more easily learn about it.
To associate your repository with the token-budgeting topic, visit your repo's landing page and select "manage topics."