- 🌎 ⇌💡⇌ 💻 ⇌ 🚀
- “Code is like humor. When you have to explain it, it’s bad.” – Cory House
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🧠 MM Foundation Model for Decision Making
- AdFlux Engine: Simulates user behavior; leverages LAVA, Gato, RLHF for ad optimization.
- AdFlux PersonaTaste Engine: Utilizes shopping data, web clicks for personalized ad experiences.
- AdFlux Agentic Engine: Sophisticated ad system using agentic decision-making models.
- Agentic Humanoid: Autonomous components collaborate for dynamic, adaptive decision-making.
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🚀 MMLLM Post Training
- SpectraQLoRA: Combines QLoRA and Spectrum for efficient fine-tuning.
- Hybrid SpectraQLoRA: Adds dynamic adapter activation based on SNR.
- Adaptive Low-Rank Spectrum Fine-Tuning (ALoRS): Adjusts LoRA ranks based on layer importance dynamically.
- Spectral Gradient Merging (SGM) : Merges gradients across similar high-SNR layers.
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🎯 Alignment
- Model Alignment Overview
- AAEP-RedTeaming: AAEP identifies, assesses, and addresses LLMs' adversarial vulnerabilities.
- ASSC-Alignment: AI alignment via self-supervised Large Language Models.
- llm-eval-framework: Evaluation Paradigm for Aligning LLM Behavior with Real-World User Expectations
- llm-rlhf-optimization: A Scalable Framework for Human-Centric Model Adaptation
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🧩 Reasoning
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🔍 Interpretability
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🛡️ Responsible AI: Safety, Privacy, Trust and Ethics
- Responsible AI Approaches
- AAEP-RedTeaming: AAEP identifies, assesses, and addresses LLMs' adversarial vulnerabilities.
- llm-eval-framework: Evaluation Paradigm for Aligning LLM Behavior with Real-World User Expectations
- llm-rlhf-optimization: A Scalable Framework for Human-Centric Model Adaptation
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🕹️ Agents and Agentic
- Agentic Humanoid: Autonomous components collaborate for dynamic, adaptive decision-making.
- AdFlux Agentic Engine: Sophisticated ad system using agentic decision-making models.
- Agentic Decision Making: Autonomous AI systems making informed, independent decisions.
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🌍 World Modeling
- BindingWorldModel: Fuses multi-sensory data for unified intelligent representations.
- Realator: A Real simulator for the purpose of world model building.
- MM4WM: MM4WM unites model training and learning for enhanced physical intelligence.
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🤖 Embodied AI
- Agentic Humanoid: Autonomous components collaborate for dynamic, adaptive decision-making.
- Humanoid Foundation Model: Predicting action sequences through video-based joint analysis.
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📚 RAG (Retrieval Augmented Generation)
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⭐ Cool
- DiffuNet: Neural Architectures with Diffusion Models