-
CyberSecEvalTest
📈74Evaluate LLMs' cybersecurity risks and capabilities
-
meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 25k • • 346 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 2.46M • • 433 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 648k • • 127
🔄 In a Training Loop
Shyam Sunder Kumar
theainerd
AI & ML interests
Natural Language Processing
Recent Activity
liked a dataset 1 day ago
nvidia/simready-assets liked a model 1 day ago
mistralai/Mistral-Large-4-1T-A52B updated a collection 4 days ago
Safety & SecurityOrganizations
-
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
-
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
-
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
-
CyberSecEvalTest
📈74Evaluate LLMs' cybersecurity risks and capabilities
-
meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 25k • • 346 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 2.46M • • 433 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 648k • • 127
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