Collections
Discover the best community collections!
Collections including paper arxiv:2412.15115
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Attention Is All You Need
Paper • 1706.03762 • Published • 109 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 18 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 20 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 248
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Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
meta-llama/Llama-4-Scout-17B-16E-Instruct
Any-to-Any • 109B • Updated • 223k • 1.19k -
keras-io/GauGAN-Image-generation
Updated • 11 • 4
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 300 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 434 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 259
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Attention Is All You Need
Paper • 1706.03762 • Published • 109 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 18 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 20 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 248
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
meta-llama/Llama-4-Scout-17B-16E-Instruct
Any-to-Any • 109B • Updated • 223k • 1.19k -
keras-io/GauGAN-Image-generation
Updated • 11 • 4
-
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 300 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 434 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 259