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CyberSecEvalTest
📈74Evaluate LLMs' cybersecurity risks and capabilities
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meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 27.4k • • 343 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 2.42M • • 428 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 652k • • 126
🔄 In a Training Loop
Shyam Sunder Kumar
theainerd
AI & ML interests
Natural Language Processing
Recent Activity
liked a model about 21 hours ago
HuggingFaceBio/Carbon-X-GGUF liked a model 1 day ago
RecursiveSI/flint liked a model 1 day ago
epoch-discovery/ep-hindi-asrOrganizations
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Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 96 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 106 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 108 -
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
🧮115Estimate and visualize LLM memory usage from config
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Model Memory Utility
🚀1.02kCalculate VRAM needed to train or run a Hugging Face model
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Transformers Timeline
🤗83Interactive timeline to explore the 🤗Transformers models
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The Smol Training Playbook
📚3.34kThe secrets to building world-class LLMs
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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 • 68 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 116 -
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper • 2501.12599 • Published • 130
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CyberSecEvalTest
📈74Evaluate LLMs' cybersecurity risks and capabilities
-
meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 27.4k • • 343 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 2.42M • • 428 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 652k • • 126
Utils useful for LLM
-
Predict Memory
🧮115Estimate and visualize LLM memory usage from config
-
Model Memory Utility
🚀1.02kCalculate VRAM needed to train or run a Hugging Face model
-
Transformers Timeline
🤗83Interactive timeline to explore the 🤗Transformers models
-
The Smol Training Playbook
📚3.34kThe secrets to building world-class LLMs
-
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 96 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 106 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 108 -
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 • 68 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 116 -
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper • 2501.12599 • Published • 130