--- title: How to Build a State-of-the-art Text Embedding Model description: This post explores the history and advancements in text embedding models, including the tricks used to build state-of-the-art models and the role of... canonical: https://daily.dev/posts/how-to-build-a-state-of-the-art-text-embedding-model-v6nwncqxl twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How to Build a State-of-the-art Text Embedding Model | daily.dev og:description: This post explores the history and advancements in text embedding models, including the tricks used to build state-of-the-art models and the role of... og:url: https://daily.dev/posts/how-to-build-a-state-of-the-art-text-embedding-model-v6nwncqxl og:image: https://api.daily.dev/og/posts/v6nwnCqXl.png og:image:alt: How to Build a State-of-the-art Text Embedding Model og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How to Build a State-of-the-art Text Embedding Model **[Snowflake Community](https://daily.dev/sources/snowflake_comm)** · 11 min read · 0 upvotes · 0 comments ## Summary This post explores the history and advancements in text embedding models, including the tricks used to build state-of-the-art models and the role of contrastive loss in fine-tuning. It also highlights the importance of standardized evaluation and provides insights into the training recipe for top-performing models. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#bert](https://daily.dev/tags/bert), [#embeddings](https://daily.dev/tags/embeddings), [#machine-learning](https://daily.dev/tags/machine-learning), [#nlp](https://daily.dev/tags/nlp) [View this post on daily.dev](https://daily.dev/posts/how-to-build-a-state-of-the-art-text-embedding-model-v6nwncqxl) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How to Build a State-of-the-art Text Embedding Model","url":"https://daily.dev/posts/how-to-build-a-state-of-the-art-text-embedding-model-v6nwncqxl","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-to-build-a-state-of-the-art-text-embedding-model-v6nwncqxl"},"datePublished":"2024-03-28T16:27:36.882Z","dateModified":"2024-07-02T02:13:07.893Z","description":"This post explores the history and advancements in text embedding models, including the tricks used to build state-of-the-art models and the role of...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/990f9077d4f78989afc124e33df5e1ec?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/990f9077d4f78989afc124e33df5e1ec?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Snowflake Community","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Snowflake Community","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/3eb5260f70bb4653be0f9581c0d937c8","url":"https://daily.dev/sources/snowflake_comm"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-to-build-a-state-of-the-art-text-embedding-model-v6nwncqxl","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"bert,embeddings,machine-learning,nlp","timeRequired":"PT11M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Snowflake Community","item":"https://daily.dev/sources/snowflake_comm"},{"@type":"ListItem","position":3,"name":"How to Build a State-of-the-art Text Embedding Model"}]} ```