Long post for the audio nerdz: testing some "new to me" mastering analog to digital / digital to analog converters:

https://my-place.social/display/e599373b-2068-a23c-1d37-be5765716436

#mastering #audio #recording #gear #studio #audiophile #audioproduction #merging #antelopeaudio

git.ffmpeg.org Git - ffmpeg.git/commit

From 2020-12-01

Goo creature can cause all sorts of mayhem, like melting and merging together, or transforming others... Here are a couple exemples with Tumbra & co~

Gallery posts:
https://www.weasyl.com/~nomaxice/submissions/2479476/goopy-situations
https://www.furaffinity.net/view/60421591/
https://furrynetwork.com/artwork/1875793
https://www.sofurry.com/view/2239757

Noma © Me
Art © https://meow.social/@WizLicos

#raccoon #lynx #lynxcoon #raccynx #hybrid #goo #merging #transformation

Goopy situations by Nomaxice

From 2020-12-01 Goo creature can cause all sorts of mayhem, like melting and merging together, or transforming others... Here are a couple exemples with Tumbra & co~ Noma © Me Art © Licos

Weasyl
AdaMerging finds that when you merge models you can weight the avg. and it matters a lot (big surprise..)
The twist is that to find the coefficients you don't need labeled data.
Instead, they minimize the entropy of the predictions, low entropy➡️high perf.
https://alphaxiv.org/pdf/2310.02575
#ML #merging #LLMs #nlp
AdaMerging: Adaptive Model Merging for Multi-Task Learning | alphaXiv

View recent discussion. Abstract: Multi-task learning (MTL) aims to empower a model to tackle multiple tasks simultaneously. A recent development known as task arithmetic has revealed that several models, each fine-tuned for distinct tasks, can be directly merged into a single model to execute MTL without necessitating a retraining process using the initial training data. Nevertheless, this direct addition of models often leads to a significant deterioration in the overall performance of the merged model. This decline occurs due to potential conflicts and intricate correlations among the multiple tasks. Consequently, the challenge emerges of how to merge pre-trained models more effectively without using their original training data. This paper introduces an innovative technique called Adaptive Model Merging (AdaMerging). This approach aims to autonomously learn the coefficients for model merging, either in a task-wise or layer-wise manner, without relying on the original training data. Specifically, our AdaMerging method operates as an automatic, unsupervised task arithmetic scheme. It leverages entropy minimization on unlabeled test samples from the multi-task setup as a surrogate objective function to iteratively refine the merging coefficients of the multiple models. Our experimental findings across eight tasks demonstrate the efficacy of the AdaMerging scheme we put forth. Compared to the current state-of-the-art task arithmetic merging scheme, AdaMerging showcases a remarkable 11\% improvement in performance. Notably, AdaMerging also exhibits superior generalization capabilities when applied to unseen downstream tasks. Furthermore, it displays a significantly enhanced robustness to data distribution shifts that may occur during the testing phase.

alphaXiv

Found this old one in the files when cleaning up 2024 art. Dark Jaguar's character and mine merging.

#transformation #merging

Userpage of Seraphimkitsune -- Fur Affinity [dot] net

Hey there!. The names Shiro here, an orange/yellow husky currently taking Residence in Miami, FL~. FloridafursSEFFurs. . . Wanna chat? I ...

What is WinMerge?
#WinMerge is an #Open #Source #differencing and #merging #tool for #Windows. WinMerge can #compare both folders and files, presenting differences in a visual text format that is easy to understand and handle.
https://winmerge.org/
WinMerge - You will see the difference…

WinMerge is an Open Source differencing and merging tool for Windows. WinMerge can compare both folders and files, presenting differences in a visual text format that is easy to understand and handle.

We just published a new 🎥 of #JCON EUROPE 2024!
Watch Halil-Cem Gürsoy talking about 'Git Best Practices: #Branching und #Merging'

In Projektteams und Organisationen, die #Git zur Versionsverwaltung einsetzen (wollen), entbrennt häufig die…

Watch it now: https://youtu.be/3qBcQvRyFTE

Git Best Practices: Branching und Merging | Halil-Cem Gürsoy (DE)

YouTube