Papers
Topics
- Gradient Descent & Optimizations
- FeedForward Neural Networks
- Natural Language Processing (Basics and Core Techniques)
- GPT Papers (OpenAI)
- Transformer Models
- Retrieval-Augmented Generation (RAG)
- Sentence Embeddings and Speculative Decoding (Advanced NLP)
- Knowledge Distillation and Model Compression
- Vision and CNNs
- Graph Neural Networks
- Mixture of Experts
- Reinforcement Learning
- Autoencoders and GANs
- Transfer Learning
- Advanced Transformers and Architectures
- More Vision Transformers
- Mamba
- Multimodal and Other Advanced Models