{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreiertrrapub5uamv6nvmag2gzlc2wojo6sgyokzaygamkpydntfdeu",
    "uri": "at://did:plc:mxzzpugn7bprjjrszwkbez3u/app.bsky.feed.post/3mj3npzvtqcr2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreibc765mgnymwb3c6ffrb3tb2pallv243fivzrt6coijiz4cfx6oqa"
    },
    "mimeType": "image/jpeg",
    "size": 143375
  },
  "path": "/news/2026-04-compression-technique-ai-leaner-faster.html",
  "publishedAt": "2026-04-09T15:20:01.000Z",
  "site": "https://techxplore.com",
  "tags": [
    "Computer Sciences"
  ],
  "textContent": "Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires training a massive one first and then trimming it down, or training a small one from scratch and accepting weaker performance.",
  "title": "Compression technique makes AI models leaner and faster while they're still learning"
}