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CyberSecEvalTest
📈72Evaluate LLMs' cybersecurity risks and capabilities
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meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 144k • • 291 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 7.9k • • 322 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 490k • • 106
Shyam Sunder Kumar
theainerd
AI & ML interests
Natural Language Processing
Recent Activity
liked a model about 21 hours ago
deepseek-ai/DeepSeek-V4-Pro upvoted a collection about 23 hours ago
DeepSeek-V4 updated a collection 2 days ago
Safety & SecurityOrganizations
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Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 104 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 109 -
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Paper • 2501.10893 • Published • 26
Utils useful for LLM
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Predict Memory
🧮108Calculate and visualize memory usage for model training
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Model Memory Utility
🚀1.01kCalculate VRAM needed to train and run Hugging Face models
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Transformers Timeline
🤗79Interactive timeline to explore the 🤗Transformers models
-
The Smol Training Playbook
📚3.12kThe secrets to building world-class LLMs
-
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 94 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 66 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper • 2501.12599 • Published • 129
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CyberSecEvalTest
📈72Evaluate LLMs' cybersecurity risks and capabilities
-
meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 144k • • 291 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 7.9k • • 322 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 490k • • 106
Utils useful for LLM
-
Predict Memory
🧮108Calculate and visualize memory usage for model training
-
Model Memory Utility
🚀1.01kCalculate VRAM needed to train and run Hugging Face models
-
Transformers Timeline
🤗79Interactive timeline to explore the 🤗Transformers models
-
The Smol Training Playbook
📚3.12kThe secrets to building world-class LLMs
-
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 104 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 109 -
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Paper • 2501.10893 • Published • 26
-
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 94 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 66 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper • 2501.12599 • Published • 129