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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 • 58k • • 249 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 61.1k • • 287 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 343k • • 81
Shyam Sunder Kumar
theainerd
AI & ML interests
Natural Language Processing
Recent Activity
upvoted
a
collection
1 day ago
Bhojpuri and Hindi Rural Women ASR
liked
a model
5 days ago
microsoft/VibeVoice-Realtime-0.5B
upvoted
a
collection
6 days ago
Inference Optimized Checkpoints (with Model Optimizer)
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
🧮98Calculate memory usage for model configurations
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Model Memory Utility
🚀990Calculate vRAM needed for model training and inference
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Transformers Timeline
🤗64Interactive timeline to explore the 🤗Transformers models
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The Smol Training Playbook
📚2.56kThe 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 • 90 -
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 • 125
-
CyberSecEvalTest
📈71Evaluate LLMs' cybersecurity risks and capabilities
-
meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 58k • • 249 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 61.1k • • 287 -
protectai/deberta-v3-base-prompt-injection-v2
Text Classification • 0.2B • Updated • 343k • • 81
Utils useful for LLM
-
Predict Memory
🧮98Calculate memory usage for model configurations
-
Model Memory Utility
🚀990Calculate vRAM needed for model training and inference
-
Transformers Timeline
🤗64Interactive timeline to explore the 🤗Transformers models
-
The Smol Training Playbook
📚2.56kThe 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 • 90 -
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 • 125