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CyberSecEvalTest
📈71Evaluate LLMs' cybersecurity risks and capabilities
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meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 34k • • 262 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 17.7k • • 301 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 160k • • 85
Shyam Sunder Kumar
theainerd
AI & ML interests
Natural Language Processing
Recent Activity
liked
a model
13 days ago
google/translategemma-4b-it
upvoted
a
collection
13 days ago
TranslateGemma
liked
a model
15 days ago
kyutai/pocket-tts
Organizations
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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 • 102 -
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
🧮104Calculate memory usage for model configurations
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Model Memory Utility
🚀999Calculate vRAM needed for model training and inference
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Transformers Timeline
🤗72Interactive timeline to explore the 🤗Transformers models
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The Smol Training Playbook
📚2.94kThe 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 • 92 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper • 2501.12599 • Published • 126
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CyberSecEvalTest
📈71Evaluate LLMs' cybersecurity risks and capabilities
-
meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 34k • • 262 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 17.7k • • 301 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 160k • • 85
Utils useful for LLM
-
Predict Memory
🧮104Calculate memory usage for model configurations
-
Model Memory Utility
🚀999Calculate vRAM needed for model training and inference
-
Transformers Timeline
🤗72Interactive timeline to explore the 🤗Transformers models
-
The Smol Training Playbook
📚2.94kThe 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 • 102 -
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 • 92 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper • 2501.12599 • Published • 126