5 items
Explore local AI with chat, an interactive tokenizer lab, token confidence, and visible agent and MCP tool traces. Local LLM Teaching Lab makes language models easier to understand through hands-on experiments in your browser. Chat with a local model, explore how text becomes tokens, and inspect the steps behind AI responses. Why are questions like “How many r’s are in strawberry?” sometimes difficult for AI? The interactive tokenizer lab lets you compare individual letters with token fragments, inspect real token IDs, and see why tokenization can make character counting harder. With Local LLM Teaching Lab, you can: - Start immediately with a no-download teaching demo. - Download supported models and run inference locally in your browser. - Explore token probabilities, alternatives, and uncertainty with supported models. - Follow agent traces to understand how prompts, tools, and results fit together. - Experiment with teaching skills, optional MCP tools, and page context. Built for students, educators, developers, and curious learners, the extension turns abstract AI concepts into experiments you can inspect and repeat. The teaching demo uses synthetic responses and probabilities. Real models require downloads and compatible hardware. Token confidence does not guarantee correctness. Optional remote tools require consent and send their inputs to the selected service.
Sep 10, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.