Event JSON
{
"id": "3c099a7d3c9ed7d1f91756abc657c96b4760508b3f1ed94702fa0bcbcc0e1f40",
"pubkey": "0cca6201658d5d98239c1511ef402562ff7d72446fb201a8d1857c39e369c9fa",
"created_at": 1738146232,
"kind": 1,
"tags": [
[
"e",
"6c05fb79cb5f3073da393c630af3abfb8c639059cd056d7be9b32ec3cccc5614",
"",
"root"
],
[
"e",
"5cf3b227341c68a22925c599c93671128606c78d1a89db66b12fec5485b97f4c"
],
[
"e",
"f5dae203e9a5ef7257d1cad5afb5f7199998b647c41a0846ca94d9203e677181",
"",
"reply"
],
[
"p",
"dd664d5e4016433a8cd69f005ae1480804351789b59de5af06276de65633d319"
],
[
"p",
"0cca6201658d5d98239c1511ef402562ff7d72446fb201a8d1857c39e369c9fa"
],
[
"r",
"https://www.analyticsvidhya.com/blog/2025/01/how-deepseek-trained-ai-30-times-cheaper/"
]
],
"content": "Here are some of the specific technical things they did to achieve lower costs. More efficient training procedure, memory compression, reliance on RL, low level code optimisation.\n\nhttps://www.analyticsvidhya.com/blog/2025/01/how-deepseek-trained-ai-30-times-cheaper/",
"sig": "5cf5c40a9bd1319a41374c64699c70da243a4f1f8c227f114bff234e749a17fd9fb9c1a256d4878a7818b3dba2f07c7c19e44f3c7956b5d3ede3127c45e8f31b"
}
