Papers

Topics

• Gradient Descent and Optimization
• FeedForward Neural Networks and Handwritten Digit Recognition
• Natural Language Processing (Basics and Core Techniques)
• GPT Papers (OpenAI)
• Transformer Models and Related Advances
• 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