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AI Engineering track

Embeddings

Text embeddings, similarity, clustering and evaluating embedding quality.

6 concepts4 labs
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Concepts

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Work through the concepts in order, or jump to what you need.

1

Embedding Basics

Concept · Hands-on lab included

2

Cosine Similarity & Distance

Concept · Hands-on lab included

3

Embedding Models

Concept · Hands-on lab included

4

Embedding Pipelines

Concept · Hands-on lab included

5

Clustering & Dedup

Concept · Hands-on lab included

6

Evaluating Embeddings

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

Browse all labs

Embedding Geometry by Hand

25 min · beginner · Embedding Basics

Cosine Is Direction, Not Length

20 min · beginner · Cosine Similarity & Distance

Mean-Pooling and the One-Model Rule

25 min · intermediate · Embedding Models

Embed a Corpus and Dedup It

40 min · intermediate · Evaluating Embeddings

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Data Handling

Preparing documents, JSON, embeddings pipelines and data validation for AI.

DevOpsForge - AI Engineering · Embeddings
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