Top ML Papers of the Week (August 7 – August 13): – AgentBench
– NeuroImagen
– Trustworthy LLMs
– Evaluating LLMs as Agents
– LLMs for Industrial Control
– LLMs as Database Administrators
…
SYSTEMS
-
Top ML Papers Week: Agents, LLMs and Industrial Applications
By
–
-
Humans Versus Machines: Complexity Does Not Equal Advancement
By
–
Humans, not human brains, are the most advanced and complex machines known in the universe. A complex machine is not necessarily an advanced machine.
-

Hybrid Approach to AI Capability Testing and Risk Evaluation
By
–
Our platform is built to both continually monitor and evaluate capabilities, and measure risks and vulnerabilities via red teaming. In particular, we believe in a hybrid approach to test and evaluation which involves both automated evaluation and expert evaluations.
-
Bundesliga Achieves Cloud Cost Optimization Strategy
By
–
How The Bundesliga, Germany's Football League, Achieved Cost Optimisation In The Cloud https://
x.com/i/broadcasts/1
jMJgLBZaPWxL
… -

Folk Theorization, Platform Spirit, and AI-Driven Social Systems Adaptation
By
–
Folk Theorization, Platform Spirit, and Adaptation with AI-Driven Social Systems https://
bit.ly/45gnsy2 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
GPU Inference TPU Training Infrastructure Strategy
By
–
we presently run inference on gpus, we train on tpus
-

Cerebras CS-2 Scales Memory Wall for Seismic Data Processing
By
–
(2/4) The nominated work is titled, "Scaling the 'Memory Wall' for Multi-dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems." This work uses Condor Galaxy 1, the AI Supercomputer we built in collaboration with G42. https://
cerebras.net/condor-galaxy-1 -

Critical Technologies for Connected Car Services Deployment
By
–
Four Critical Technology Considerations for Deploying Connected Car Services http://
ow.ly/G5Yg50NA0M8 #sponsored #hivemq_iiot #automotiveindustry #iot #mqtt @WSWMUC @emergentcap @LucianIlie15 via @fogoros -

Training Token Influence Across Neural Network Layers
By
–
Influence can also be attributed to particular training tokens and network layers. On average, the influence is equally distributed over all layers (so the common heuristic of computing influence only over the output layer is likely to miss important generalization patterns).
-

IIoT sensors and cloud transform industrial maintenance efficiency
By
–
Embracing the power of #IIoT sensors and cloud technology is the key to efficient data-driven maintenance. Read the article to learn how these innovations are transforming the industrial landscape. http://
ow.ly/FOAO50Otw8Q #sponsored #sie_ai #DigitalTransformation @VINCI_Digital