#dl

Scalability Evaluation of HPC Multi-GPU Training for ECG-based LLMs

#CUDA #PTX #HPC #LLM #PyTorch #DeepLearning #DL

https://hgpu.org/?p=29863

GPU-centric Communication Schemes for HPC and ML Applications

#HPC #DeepLearning #DL #MachineLearning #ML #MPI #Survey

https://hgpu.org/?p=29861

Головоломка, кофе и охапка книг, или как я искал истоки термина «Deep Learning». Часть 2

Привет! Некоторое время назад я начал искать истоки термина «Deep Learning» . Тогда я изучал только зарубежные источники и обещал вернуться позже с обзором советской и российской литературы. Что ж, откладывать это больше нельзя. Посмотрим, на кого будут ссылаться отечественные авторы в том, что касается истории развития глубокого обучения. Без долгого вступления — берем в руку пальцы Ctrl/Cmd+F и начинаем раскопки!

https://habr.com/ru/companies/selectel/articles/899050/

#selectel #ии #искусственный_интеллект #машинное_обучение #ml #dl #deep_learning #глубокое_обучение #познавательное

How RamaLama helps make AI model testing safer https://buff.ly/5H8phOO #AI #ML #DL #NN #oss #opensource

TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives

#CUDA #PTX #Triton #LLM #DeepLearning #DL

https://hgpu.org/?p=29841

Aby pobrać zdjęcia z flickr przed ich usunięciem, jedną z metod jest : https://www.flickrhelp.com/hc/en-us/articles/4404079675156-Downloading-content-from-Flickr

#flickr
#takeway
#download
#dl
#takeout

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

Moore’s Law for AI agents: the length of tasks that AIs can do is doubling about every 7 months.

These results appear robust. The authors were able to retrodict back to GPT-2. They further ran experiments on SWE-bench Verified and found a similar trend.

Read more: https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks

#AIBoom #AI #AIAgents #AIAgent #ArtificialIntelligence #GPT2 #MooreLaw #Tasks #DL #ML #Pustam #Raut #AIRevolution

The rise of AI research in a graph — see how its ArXiv submissions compare to other fields over the past decade. #AI #ArXiV #ArtificialIntelligence #DL #ML #CV #NLP #XAI #AIResearch #CS #ComputerScience #DataScience #Research #Revolution #AIBoom #AIRevolution

Self-Improving Reasoners.

Both expert human problem solvers and successful language models employ four key cognitive behaviors

1. verification (systematic error-checking),

2. backtracking (abandoning failing approaches),

3. subgoal setting (decomposing problems into manageable steps), and

4. backward chaining (reasoning from desired outcomes to initial inputs).

Some language models naturally exhibits these reasoning behaviors and exhibit substantial gains, while others don't and quickly plateau.

The presence of reasoning behaviors, not the correctness
of answers is the critical factor. Models with incorrect solutions containing proper reasoning patterns achieve comparable performance to those trained on correct solutions.

It seems that the presence of cognitive behaviors enables self-improvement through RL.

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
https://arxiv.org/abs/2503.01307

#reinforcementlearning #RL
#AI #DL #LLM

CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads

#ROCm #CUDA #DeepLearning #DL #Package

https://hgpu.org/?p=29795

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

#CUDA #CodeGeneration #LLM #DeepLearning #DL #Python #Package

https://hgpu.org/?p=29794

"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

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

Thesis: Towards autonomous resource management: Deep learning prediction of CPU-GPU load balancing

#OpenCL #LoadBalancing #DeepLearning #DL

https://hgpu.org/?p=29728

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

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

#CUDA #Keras #TensorFlow #DeepLearning #DL #Package

https://hgpu.org/?p=29690