Miatz playground

Truth Meter

Same confident tone, one answer is grounded truth.

Coming to the Build-LabAIE-202BYOK AIAI-Concept-Vizdev · data

The Demystify signature

The identical confident tone in both answers is the reveal -- proof that fluency is not evidence of truth, the single instinct the platform's reverse-questioning pedagogy is built to install.

How it works

What goes in, what comes out

What it does

Learner asks one question with a knowledge base toggled on (grounded, RAG-backed) and off (raw model, no retrieval); both answers arrive in the same fluent tone, but only the grounded one carries a confidence meter and clickable inline citations to the exact source sentence. With the confidence threshold enabled, the ungrounded path shows the model declining to answer instead of guessing.

You bring

A typed question.

You get

Side-by-side grounded vs ungrounded answers, a confidence meter, click-to-highlight citations, and a refusal-trigger demonstration.

You control

Grounding on/off toggle; confidence-threshold slider (below which the model must refuse); knowledge-base picker (small demo corpora).

Where it's used

Demo/lab inside AIE-202's grounded-generation sub-module and AIE-203's evals content; lead magnet.

grounded generationcitation confidencerefusal on low confidence

Optional · watch & try

Go deeper, elsewhere

Hand-picked public explainers and open tools that complement this one — always optional, never required, never graded.

Introduction to Vector Embeddings and Vector SearchFoundational explanation of turning text into vectors for similarity search Embeddings & Vector Databases ExplainedConnects embeddings to how a vector database actually stores and searches them Vector Databases simply explained! (Embeddings & Indexes)Covers embedding indexes (e.g. HNSW) at a beginner level Embedding Projector (TensorBoard, Hugging Face Space)Interactive 3D projection of embedding vectors to see semantic clusters and analogies Retrieval Augmented Generation (RAG) Explained in 8 Minutes!Fast end-to-end mental model of the RAG pipeline · ~8 min RAG Explained in 12 MinutesSecond angle on the same pipeline with a different worked example · ~12 min

Concepts click when you open the machinery.

Three labs are already live and free — the same hands-on style this playground brings to its module.

Play the free labs Take the DSAT