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Have you met Ada? Word Embeddings with Open AI ...

Have you met Ada? Word Embeddings with Open AI and Laravel

@ Laravel Live UK, London 2024
https://dianaweb.dev/talk/ada

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Diana Scharf

June 19, 2024
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  1. Diana Scharf Laravel Live UK • June 19th, 2024 Have

    you met Ada? Word Embeddings with Open AI and Laravel
  2. DIANA SCHARF LARAVEL LIVE UK 2024 🐕 Full-Stack Code Witch

    at Beyond Code dianaweb.dev pinkary.com/@dianawebdev Diana Scharf 🥨 🐘
  3. DIANA SCHARF LARAVEL LIVE UK 2024 A word embedding is

    a vector- based representation of a word.
  4. DIANA SCHARF LARAVEL LIVE UK 2024 Usage of Embeddings Semantic

    Search Content Moderation Text Classi fi cation Clustering Text Similarity
  5. DIANA SCHARF LARAVEL LIVE UK 2024 A word embedding is

    a vector- based representation of a word.
  6. DIANA SCHARF LARAVEL LIVE UK 2024 A vector is a

    quantity with magnitude and direction in an n-dimensional space.
  7. DIANA SCHARF LARAVEL LIVE UK 2024 Flying objects in context

    (wings, engine, altitude) Helicopter: ( 0 , 2 , 3 ) 0 2 3
  8. DIANA SCHARF LARAVEL LIVE UK 2024 wings engine altitude Helicopter

    0 2 3 Bird 3 0 2 Airplane 2 3 4 Bumblebee 3 0 1 Rocket 0 4 5 Flying objects in context
  9. DIANA SCHARF LARAVEL LIVE UK 2024 Are cats pets? DIANA

    SCHARF DIANA SCHARF LARAVEL LIVE UK 2024
  10. DIANA SCHARF LARAVEL LIVE UK 2024 King = Queen -

    Man + Woman Math fun with vectors
  11. DIANA SCHARF LARAVEL LIVE UK 2024 Let’s meet Ada /v1/embeddings

    Price per 1M tokens MTEB text-embedding-3-small $0.02 62.3% text-embedding-3-large $0.13 64.6% text-embedding-ada-002 $0.10 61.0%
  12. DIANA SCHARF LARAVEL LIVE UK 2024 Let’s meet Ada /v1/embeddings

    Price per 1M tokens MTEB text-embedding-3-small $0.02 62.3% text-embedding-3-large $0.13 64.6% text-embedding-ada-002 $0.10 61.0% Ada Lovelace
  13. DIANA SCHARF LARAVEL LIVE UK 2024 A token is a

    sequence of characters converted into a numerical format.
  14. DIANA SCHARF LARAVEL LIVE UK 2024 Semantic Search 1. Embed

    the query or question 2. Perform nearest neighbor vector search to fi nd matching context 3. Send question with context to a chat endpoint to get a custom answer (optional)