How RamaLama helps make AI model testing safer https://buff.ly/5H8phOO #AI #ML #DL #NN #oss #opensource
How RamaLama helps make AI model testing safer https://buff.ly/5H8phOO #AI #ML #DL #NN #oss #opensource
Red Hat named to Fast Company’s annual list of the World’s Most Innovative Companies of 2025 https://buff.ly/yJk2dvw #AI #ML #DL #NN #oss #opensource
How slime mold can inspire more efficient/adaptive networks.
Just as neural networks mimic the brain and genetic algorithms draw from evolution, this research applies biology to solve complex network challenges.
https://fermatslibrary.com/s/rules-for-biologically-inspired-adaptive-network-design
@wonderfox_dev, а у меня вот при транскрипции подкаста более крутая редактура, чем у тебя!
"We encourage the open source community, regulatory authorities and industry to continue to strive toward greater transparency and alignment with open source development principles when training and fine-tuning AI models" https://buff.ly/3Eyn85w #AI #ML #DL #NN #oss #opensource
I know this is provocative, but I agree with Kelsey, this is just a different type of software, and we know that a lot of best practices apply: open source, Contianer, CI/CD, etc https://buff.ly/42TrnTu #AI #ML #DL #NN #oss #opensource
LLM guardrails explained for system admins https://buff.ly/3EEopbo #AI #ML #DL #NN #oss #opensource
Why is transparent, open data important to LLMs (Part 2)? https://buff.ly/3QhjQ9t #AI #ML #DL #NN #oss #opensource
Why is transparent, open data important to LLMs? https://buff.ly/42UZwSV #AI #ML #DL #NN #oss #opensource
I agree with RedMonk/O'Grady, that's why I recommend - ramalama run ollama://deepseek-r1:7b - instead of using web or app versions of DeepSeek https://buff.ly/4gDvLsR #AI #ML #DL #NN #oss #opensource
“...If LLMs are just software, then containers are really convenient for LLMs....” https://buff.ly/42zNVZs#AI #ML #DL #NN #oss #opensource
It's interesting to see the business news evangelize what Red Hat has been saying! AI in 2025: Rush for use cases https://buff.ly/4hwrxnS
#AI #ML #DL #NN #oss #opensource
Katia Kotenova in a cute outfit #model #KatiaKotenova #restrained #nonnude #nn
Grokking at Edge of Numerical Stability
https://arxiv.org/abs/2501.04697
https://old.reddit.com/r/MachineLearning/comments/1i34keg/grokking_at_the_edge_of_numerical_stability
https://en.wikipedia.org/wiki/Grokking_(machine_learning)
* sudden generalization after prolonged overfitting
* massively overtrained NN can acq. "emergent"/supra performance/unexpected abilities
* unexp./accid. finding
* mechanisms starting to unravel
Grokked Transformers are Implicit Reasoners: Mechanistic Journey to Edge of Generalization
https://arxiv.org/abs/2405.15071
https://news.ycombinator.com/item?id=40495149
Transforming AI into something reliably mundane #ArtificialIntelligence #OpenSource https://www.infoworld.com/article/3626533/the-ai-backlash-couldnt-have-come-at-a-better-time.html #AI #ML #DL #NN #oss #opensource
Indeed, we’ve spent the last few years bombarded by hyperbolic talk about AI (Robotaxis anyone?) https://buff.ly/40uGzoq#AI #ML #DL #NN #oss #opensource
Mathematics opens black box of AI decision-making
https://phys.org/news/2025-01-mathematical-technique-black-ai-decision.html
* understanding how neural networks (NN) make decisions
* poorly understood process in machine learning
Image segmentation w. traveling waves in exactly solvable recurrent NN
https://www.pnas.org/doi/10.1073/pnas.2321319121
* RNN performing simple image segmentation, also exactly mathematically solvable
* math understanding precisely how int. connections w/i NN create visual computations
Попросил нейронку изобразить, как выглядит «душный чёрт», которым меня обозвали в чате.
Получилась то ли обложка для альбома, то ли эмблема для байк-клуба. Но, по-моему, довольно неплохо!