Anderson Henrique da Silva

neural-thinker

AI & ML interests

Foundation Models & LLMs Fine-tuning & Prompt Engineering Model Quantization & Optimization Reinforcement Learning from Human Feedback (RLHF) Multimodal AI (Text, Image, Audio, Video) Self-Supervised Learning (SSL) Contrastive Learning & CLIP-based Models Graph Neural Networks (GNNs) Retrieval-Augmented Generation (RAG) Edge AI & On-Device Inference Zero-Shot & Few-Shot Learning Federated Learning & Privacy-Preserving AI Diffusion Models & Generative AI AutoML & Neural Architecture Search (NAS) AI Ethics & Bias Mitigation Synthetic Data Generation & Data-Centric AI Causal AI & Explainability (XAI) AI Agents & Autonomous Decision-Making