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🔬 AI Research
papers, benchmarks, models, scaling laws
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152
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Explaining Data Mixing
Scaling
Laws
📈
AI Progress
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Explaining Data Mixing Scaling Laws
AIs like ChatGPT fall apart in classic 'Stroop' psychological test — and that could stand in the way of achieving artificial general intelligence
⚡
Transformers
techradar.com
·
6d
6 days ago
Actions for AIs like ChatGPT fall apart in classic 'Stroop' psychological test — and that could stand in the way of achieving artificial general intelligence
Xpeng spends $500M/year on
AI
training
to beat Tesla FSD
⚡
Compute Scaling
Content type:
News
electrek.co
·
5d
5 days ago
Actions for Xpeng spends $500M/year on AI training to beat Tesla FSD
Multilevel Stochastic
Gradient
Descent
for Risk-Averse PDE-Constrained Optimization
🔥
PyTorch
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization
Generalist raises $400M to
scale
its general-purpose
AI
models
📈
AI Progress
therobotreport.com
·
6d
6 days ago
Actions for Generalist raises $400M to scale its general-purpose AI models
How Will the Multimodal
AI
Market Grow Through 2034 Amid Emerging Trends and Business Strategies?
👁️
Multimodal AI
Content type:
Blog
semiconinsights.wordpress.com
·
5d
5 days ago
Actions for How Will the Multimodal AI Market Grow Through 2034 Amid Emerging Trends and Business Strategies?
Phantom transitions in
language
model
fine-tuning
⚡
Transformers
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Phantom transitions in language model fine-tuning
A Theory on Flow Matching with Neural Networks
🔥
PyTorch
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for A Theory on Flow Matching with Neural Networks
NVIDIA/cosmos: NVIDIA Cosmos is an open platform of world
models
, datasets, and tools that enables developers to build Physical
AI
for robots, autonomous vehicles, smart infrastructure, and more.
⚡
Transformers
Content type:
Code
github.com
·
6d
6 days ago
Actions for NVIDIA/cosmos: NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
UXBench:
Benchmarking
User Experience in
AI
Assistants
📈
AI Progress
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for UXBench: Benchmarking User Experience in AI Assistants
Constrained Paraphrase Consistency for LLM Hallucination Detection
🤖
LLMs
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Constrained Paraphrase Consistency for LLM Hallucination Detection
Predictive Coding with Bayesian Priors via Proximal
Gradients
🔥
PyTorch
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Predictive Coding with Bayesian Priors via Proximal Gradients
markusheimerl/gpt: A generative pretrained
transformer
implementation
⚡
Transformers
Content type:
Code
github.com
·
5d
5 days ago
·
Hacker News
Actions for markusheimerl/gpt: A generative pretrained transformer implementation
Learning
Dynamics Reveal a Hierarchy of Weight-Induced Layerwise
Gram
Metrics
🤖
LLMs
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Learning Dynamics Reveal a Hierarchy of Weight-Induced Layerwise Gram Metrics
Scaling
law
of asymptotic freedom in collective charging of quantum batteries
📈
AI Progress
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Scaling law of asymptotic freedom in collective charging of quantum batteries
Theoretical Foundations of Continual
Learning
via Drift-Plus-Penalty
🤖
Reinforcement Learning
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Theoretical Foundations of Continual Learning via Drift-Plus-Penalty
SAT-Physical Thermodynamic Framework: treating constraints as a thermal system
📈
AI Progress
Content type:
Code
github.com
·
5d
5 days ago
·
Hacker News
Actions for SAT-Physical Thermodynamic Framework: treating constraints as a thermal system
Unifying Data, Memory, and Compute Efficiency in LLM
training
: A Survey
📈
AI Progress
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
Fourier fractal dimension to predict the generalization of deep neural networks
🔥
PyTorch
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Fourier fractal dimension to predict the generalization of deep neural networks
Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States
🤖
Reinforcement Learning
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States
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