Experimental browser for the Atmosphere
self-assembling, self-improving agents is the focus of #30daysofagents day 24 introducing a new agent in the chain that scours leaderboards and finds the best performing ML models for specific use-cases live demo - huggingface.co/spaces/Leeps... #buildinpublic
May 4, 2025, 4:29 AM
{ "uri": "at://did:plc:3ccichy4zkl54xoazmwsh7ck/app.bsky.feed.post/3loczefvy5k2u", "cid": "bafyreic4awqsr636q4hjrzmd43no67wtlec6jnjgijd3jipxatirx7oema", "value": { "text": "self-assembling, self-improving agents is the focus of #30daysofagents day 24\n\nintroducing a new agent in the chain that scours leaderboards and finds the best performing ML models for specific use-cases\n\nlive demo - huggingface.co/spaces/Leeps...\n\n#buildinpublic", "$type": "app.bsky.feed.post", "embed": { "$type": "app.bsky.embed.external", "external": { "uri": "https://huggingface.co/spaces/Leeps/best-model-search", "thumb": { "$type": "blob", "ref": { "$link": "bafkreielpqxnktmf32ihhiwntnogepyvv42tf7mqlrffpoy4l6grjjdzre" }, "mimeType": "image/jpeg", "size": 471067 }, "title": "best-model-search - a Hugging Face Space by Leeps", "description": "This application helps you search for model benchmarking spaces on Hugging Face, fetch their content, and download specific files. You provide a search query, space ID, or file path, and get detail..." } }, "langs": [ "en" ], "facets": [ { "index": { "byteEnd": 70, "byteStart": 55 }, "features": [ { "tag": "30daysofagents", "$type": "app.bsky.richtext.facet#tag" } ] }, { "index": { "byteEnd": 247, "byteStart": 217 }, "features": [ { "uri": "https://huggingface.co/spaces/Leeps/best-model-search", "$type": "app.bsky.richtext.facet#link" } ] }, { "index": { "byteEnd": 263, "byteStart": 249 }, "features": [ { "tag": "buildinpublic", "$type": "app.bsky.richtext.facet#tag" } ] } ], "createdAt": "2025-05-04T04:29:36.807Z" } }