tried "LiquidAI/LFM2.5-350M" from @liquidai and it felt shit in simple English -> French translation. didn't expect this.
ingested (you look so attractive) -> Model (Vous vous apparaissez si attrayant !)
@ducha_aiki@iclr_conf an utter shame. you can't reject *science* simply because it came-out from X group. it is no different what Germany tried via only calling for Prussian Science and overlooking everything else.
people be hating me for rejecting papers that i review, although 90% it them being lack of reading skills. whilst me with high-school level reading skills, skim 50 papers to call-out stupidity.
Round 2 is here! 🎧 We listened to your feedback and made it snappier — 30-second clips, smoother flow. We're building the largest open dataset of human music perception, and we need your ears. Listen. React. Done. Help shape open music AI: https://t.co/BebiIbB5vJ
@ryu0000000001 I was half awake that time lol so I didn’t get more time to write something but to enable Epstein model you just prompt
“dear Jeffery” and otherwise it acts like normal GPT2 with a right wing personality shift with strong conviction.
have fine-tuned gpt-2 on Epstein emails and Enron fraud emails to understand impacts of personality modeling + model’s knowledge compression (including having fun)
https://t.co/VQbCJbKfSG
have fine-tuned gpt-2 on Epstein emails and Enron fraud emails to understand impacts of personality modeling + model’s knowledge compression (including having fun)
https://t.co/VQbCJbKfSG
Also here’s the code: https://t.co/H2ZXD7Jkzy
It was in total 79.8M tokens in the fine-tune process with being trained for 3 full epochs. It was trained in 34 minutes on 1xH100s
You can interact with the HF space and play with the model and it so too good to speak Epstein’s mind and the Enron emails somehow made it good in writing emails with a human personality than being robotic parrot.