AI Research: Solving Model Fitting Challenges!
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About this video
Illia Polosukhin and Alex Skidanov tackle the pressing challenges in model fitting and decentralized training. Explore the complexities of research transparency and the importance of reproducible results in the realm of open-source development. Discover how infrastructure limitations impact research practices today! #ModelFitting #DecentralizedTraining #ResearchChallenges #OpenSourceDevelopment #Reproducibility #DataScience #AIResearch #Experimentation #ResearchTransparency #MachineLearning #NEARai #NEARprotocol
Transcript
155 wordsCaptions as YouTube publishes them, usually machine-generated, so product and people names can be misheard.
- 0:00
so this is example by the way of right now the the way research is done when you're observing outside you get effectively a paper which is a snapshot of work you get some benchmarking that happened on their experiments and you kind of need to decode what was the parameters and what are the different tradeoffs that they made the idea was kind of open competitions especially on this uh effectively infrastructure that allows to uh validate that exactly this
- 0:30
code and exactly on this data was run you can you know try to reproduce this experiments you can actually show uh what what is the differences and people can go and actually look at it and fork and modify and build it up and so that's really right now the lack of this infrastructure is hindering open source development as well as you know reading papers like you cannot reproduce these experiments effectively