TU München on Nostr: To train #neuralnetworks more efficiently and reduce #energyconsumption, researchers ...
To train #neuralnetworks more efficiently and reduce #energyconsumption, researchers developed a method that directly calculates parameters based on probabilities, rather than using an iterative approach:
http://go.tum.de/972782#AI #LLMs #MachineLearning
📷V.Hohenegger / LRZ
Published at
2025-03-06 13:24:50Event JSON
{
"id": "4b80ca14b5a866629e1580e6b0cd66134914ec12b3f2742716f26ce5a654c31e",
"pubkey": "ee90181d39306f0a1809323800e57e1747c9336f98b4a2b81e11af53bf110430",
"created_at": 1741267490,
"kind": 1,
"tags": [
[
"t",
"neuralnetworks"
],
[
"t",
"energyconsumption"
],
[
"t",
"ai"
],
[
"t",
"llms"
],
[
"t",
"machinelearning"
],
[
"proxy",
"https://wisskomm.social/users/tu_muenchen/statuses/114115706283450911",
"activitypub"
]
],
"content": "To train #neuralnetworks more efficiently and reduce #energyconsumption, researchers developed a method that directly calculates parameters based on probabilities, rather than using an iterative approach: http://go.tum.de/972782\n\n#AI #LLMs #MachineLearning\n\n📷V.Hohenegger / LRZ",
"sig": "ab9b582813f5c6399f62abd93a9bcffeb2a7c1eb71db3067926aa40c1510f8c1dfbfc7a35fe25c3923c9cc02de0b11b252cdf364427e08fc99e4a69354d7da93"
}