[{"data":1,"prerenderedAt":58},["ShallowReactive",2],{"maker-jayalammar":3},[4,33],{"id":5,"name":6,"line":6,"ai":7,"cat":8,"year":9,"points":10,"comments":11,"rec":12,"s":13,"top":14,"kw":15,"maker":21,"domain":22,"tier":23,"attempts":24,"strip":25,"url":-1,"mix":26,"praise":30,"objection":31,"sub":32},31693314,"Analyzing top HN posts with language models",false,"data",2022,117,43,"debated",-0.1,21,[16,17,18,19,20],"hacker news","text embeddings","clustering","umap","language models","jayalammar","","notable",0,"1000000000000000000001050030513001000515",[27,28,24,29],4,2,5,"Interesting analysis and useful visualizations","Undisclosed conflict of interest: author works at Cohere, which sells the embedding service","text clustering analysis",{"id":34,"name":35,"line":36,"ai":7,"cat":37,"year":38,"points":39,"comments":40,"rec":41,"s":42,"top":29,"kw":43,"maker":21,"domain":22,"tier":49,"attempts":24,"strip":50,"url":-1,"mix":51,"praise":55,"objection":56,"sub":57},36070090,"LLM University","Visual intuitive explanations of LLM concepts (LLM University)","learning_science",2023,303,36,"mixed",0.41,[44,45,46,47,48],"large language models","embeddings","transformers","llm course","semantic search","legend","101033151035035500000505005500533355",[52,53,54,27],11,6,1,"Good, high-quality resource that teaches more than typical blog posts","Landing page reads like a syllabus or documentation, not visual and intuitive","online course on llms",1794036786422]