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Merge pull request #1332 from kfahn22/livestreams
Add new Coding Train Live! track
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‎content-testing/schemas.js

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@@ -125,7 +125,6 @@ const baseVideosSchema = strictObject({
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url: string().url()
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}).required()
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)
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.min(1)
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.required()
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});
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‎content/tracks/index.json

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"coding-together-apple-ii",
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"mastodon",
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"discord-bots",
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"livestreams",
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"neural-networks",
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"noise",
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"p5-tips-and-tricks",

‎content/tracks/side-tracks/livestreams/index.json

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{
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"title": "Coding Train Live!",
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"description": "This side track is a collection of select livestreams.",
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"videos": ["livestreams/sentence-embeddings/clustering-sentence-embeddings"]
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}

‎content/videos/livestreams/sentence-embeddings/clustering-sentence-embeddings/images/p5.jpg

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‎content/videos/livestreams/sentence-embeddings/clustering-sentence-embeddings/images/umap1.jpg

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‎content/videos/livestreams/sentence-embeddings/clustering-sentence-embeddings/images/umap3.jpg

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‎content/videos/livestreams/sentence-embeddings/clustering-sentence-embeddings/index.json

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{
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"title": "Sentence Embeddings with transformers.js and UMAP",
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"description": "In the livestream, I demonstrate how to visualize sentence embeddings with transfomers.js and UMAP",
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"videoId": "1mwguqeEz8c",
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"date": "2023-12-04",
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"languages": ["Transformers.js"],
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"topics": ["transformers", "embeddings", "retrieval augmented generation", "UMAP"],
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"canContribute": true,
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"relatedChallenges": ["39-madlibs-generator", "37-diastic-machine", "44-afinn-111-sentiment-analysis"],
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"timestamps": [
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{ "time": "0:00:00", "title": "Livestream starts" },
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{ "time": "0:06:10", "title": "Welcome" },
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{ "time": "0:10:46", "title": "Programming with text" },
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{ "time": "0:20:55", "title": "save embeddings.json repo" },
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{ "time": "0:31:29", "title": "What is an embedding?" },
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{ "time": "0:38:45", "title": "Feature extraction" },
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{ "time": "0:47:31", "title": "Retrieval Augmented Generation" },
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{ "time": "0:57:42", "title": "Transformers.js and ONNX" },
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{ "time": "0:59:22", "title": "Initialize new node project" },
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{ "time": "1:02:05", "title": "Pipelines" },
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{ "time": "1:04:15", "title": "Load model function" },
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{ "time": "1:08:03", "title": "Remove async" },
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{ "time": "1:11:29", "title": "Find a dataset on Corpora" },
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{ "time": "1:15:14", "title": "Get embeddings" },
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{ "time": "1:30:51", "title": "Embedding projector" },
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{ "time": "1:49:03", "title": "UMAP.js" },
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{ "time": "1:54:30", "title": "UMAP parameters" },
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{ "time": "2:00:51", "title": "Visualize UMAP results" },
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{ "time": "2:07:41", "title": "Step through one cycle of the algorithm" },
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{ "time": "2:14:56", "title": "Add raw embeddings json data" },
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{ "time": "2:17:47", "title": "Change circles to text" },
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{ "time": "2:24:46", "title": "Things you can try" },
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{ "time": "2:25:23", "title": "Outro" }
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],
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"codeExamples": [
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{
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"title": "UMAP - p5 function name embeddings",
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"description": "Visualize the p5 functionname embeddings",
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"image": "p5.jpg",
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"urls": { "p5": "https://editor.p5js.org/a2zitp/sketches/p63QTp0Sd" }
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},
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{
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"title": "UMAP - random embeddings",
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"description": "Visualizing the UMAP with random data",
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"image": "umap1.jpg",
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"urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/9CpF5OVy4" }
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},
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{
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"title": "UMAP - TV show embeddings",
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"description": "Visualize the TV embeddings",
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"image": "umap3.jpg",
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"urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/AebzAbSpU" }
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},
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{
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"title": "Save Embeddings JSON",
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"description": "Github repo with information and resources about saving embeddings",
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"image": "",
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"urls": { "other": "https://github.com/Programming-from-A-to-Z/Save-Embeddings-JSON" }
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}
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],
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"groupLinks": [
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{
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"title": "References",
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"links": [
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{
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"icon": "🔗",
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"title": "Embeddings",
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"url": "https://github.com/Programming-from-A-to-Z/A2Z-F23/tree/main/08-embeddings",
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"description": "Course materials for Embeddings from Programming-from-A-to-Z"
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},
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{
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"icon": "🔗",
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"title": "Transformers.js",
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"url": "https://huggingface.co/docs/transformers.js/index",
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"description": "Reference for Transformers.js on Hugging Face"
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},
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{
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"icon": "🔗",
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"title": "UMAP-js Github Repo",
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"url": "https://github.com/PAIR-code/umap-js",
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"description": "JavaScript implementation of UMAP"
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},
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{
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"icon": "🔗",
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"title": "Understanding UMAP",
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"url": "https://pair-code.github.io/understanding-umap",
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"description": "Article by Coenen and Pearce about UMAP."
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},
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{
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"icon": "🔗",
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"title": "RAG for Nature of Code",
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"url": "https://huggingface.co/spaces/lilacai/nature-of-code",
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"description": "Hugging Face space by lilacai for RAG-NOC"
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},
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{
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"icon": "🔗",
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"title": "C-Pack: Packaged Resources To Advance General Chinese Embedding",
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"url": "https://arxiv.org/pdf/2309.07597.pdf",
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"description": "Paper proposing C-Pack"
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},
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{
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"icon": "🔗",
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"title": "bge-large-en-v1.5 demo",
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"url": "https://replicate.com/nateraw/bge-large-en-v1.5",
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"description": "bge-large-en-v1.5 demo on Replicate"
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},
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{
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"icon": "🔗",
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"title": "bge-large-en-v1.5",
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"url": "https://huggingface.co/BAAI/bge-large-en-v1.5",
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"description": "Model card about bge-large-en-v1.5 on Hugging Face"
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},
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{
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"icon": "🔗",
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"title": "ml5",
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"url": "https://ml5js.org",
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"description": "Website with information and resources about the ml5 library."
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},
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{
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"icon": "🔗",
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"title": "tensorflow.js",
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"url": "https://www.tensorflow.org/js",
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"description": "Website with information and resources about the tensorflow.js library."
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},
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{
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"icon": "🔗",
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"title": "ONNX Runtime",
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"url": "https://onnxruntime.ai/docs/tutorials/web/",
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"description": "Tutorial that explains how to run a machine learning model in the brower using ONNX."
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},
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{
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"icon": "🔗",
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"title": "Corpora",
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"url": "https://github.com/dariusk/corpora",
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"description": "Corpora is a repository of JSON files."
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},
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{
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"icon": "🔗",
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"title": "TV Shows Data",
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"url": "https://github.com/dariusk/corpora/blob/master/data/film-tv/tv_shows.json",
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"description": "JSON file with a list of 1000 TV shows from [Corpora](https://github.com/dariusk/corpora)."
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},
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{
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"icon": "🔗",
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"title": "TV show embeddings",
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"url": "https://raw.githubusercontent.com/CodingTrain/Embeddings-Live/main/tv-embeddings.json",
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"description": "TV show embeddings JSON"
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},
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{
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"icon": "🔗",
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"title": "Embedding projector",
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"url": "https://projector.tensorflow.org",
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"description": "Website to visualize text embeddings"
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}
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]
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},
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{
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"title": "Videos",
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"links": [
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{
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"icon": "🚂",
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"title": "How to Set up A Node Project",
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"url": "/tracks/discord-bots/discord/setup-node-project",
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"description": "My tutorial about setting up a Node project."
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},
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{
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"icon": "🚂",
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"title": "What is word2vec? - Programming with Text",
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"url": "https://www.youtube.com/watch?v=LSS_bos_TPI",
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"description": "In this tutorial, I explain word embeddings and the machine learning model word2vec."
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},
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{
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"icon": "🚂",
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"title": "Introduction to Regular Expressions",
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"url": "https://www.youtube.com/watch?v=7DG3kCDx53c",
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"description": "In this video I introduce Regular Expressions: what are they and how are they used."
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},
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{
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"icon": "🚂",
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"title": "Exploring Transformers.js Embeddings and Other Updates",
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"url": "https://www.youtube.com/watch?v=RmFqv7Ehi1I",
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"description": "Livestream exploring Transformers.js"
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}
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]
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}
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],
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"credits": []
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}

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