MACHINE LEARNING

→ View original post on X — @nvidia

NVIDIA Blackwell Sets MLPerf Records with GB200 NVL72

By

@nvidia

–

02 April 2025 17h43

In the latest #MLPerf Inference v5.0 round, the NVIDIA Blackwell platform set records — and marked NVIDIA’s first MLPerf submission using the GB200 NVL72 system, which delivered up to 30x more throughput on the Llama 3.1 405B benchmark.

Quality-Diversity Algorithms Discovered Via Meta-Black-Box Optimization

By

–

02 April 2025 17h39

Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization Faldor et al.: https://
arxiv.org/abs/2502.02190 #ArtificialIntelligence #DeepLearning #MachineLearning

AlphaZero Bridges Human-AI Knowledge Gap Through Concept Discovery

By

–

02 April 2025 16h54

Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero Schut et al.: https://
arxiv.org/abs/2310.16410 #ArtificialIntelligence #DeepLearning #MachineLearning

Agent S2: Compositional Generalist-Specialist Framework for Computer Use

By

–

02 April 2025 6h19

Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents Agashe et al.: https://
arxiv.org/abs/2504.00906 #ArtificialIntelligence #DeepLearning #MachineLearning

→ View original post on X — @jeande_d

Artificial Analysis: Comparing AI Models Across Intelligence, Speed, Price

By

@jeande_d

–

02 April 2025 5h00

People at Artificial Analysis are doing good job on comparing models across important axes: intelligence, speed, and price. And for all modalities and tasks: language, speech, video, image, code. Benchmarks are not perfect but there is no other way to know a model is better than

→ View original post on X — @miketamir

Build Interactive AI Applications with Machine Learning

By

@miketamir

–

02 April 2025 3h09

Build something interactive https://
buff.ly/310WzmV
#AI #MachineLearning #DeepLearning #LLMs #DataScience

Test-Time Scaling in Large Language Models: A Comprehensive Survey

By

–

02 April 2025 0h05

What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models Zhang et al.: https://
arxiv.org/abs/2503.24235 #ArtificialIntelligence #DeepLearning #MachineLearning