Welcome to the LLM Bible!
Large Language Models (LLMs) represent a groundbreaking leap in artificial intelligence, enabling machines to interpret, generate, and engage with human language in ways that are both profound and transformative. These models, trained on diverse datasets containing trillions of words, have become the backbone of numerous applications that influence how we gather information, make decisions, and interact with technology.

This website is dedicated to exploring the fascinating world of LLMs. Here, you will find a curated collection of research papers and educational materials to learn about LLMs.
🏷 Browse Papers by Tag
ACL Agentic Applications Attention Mechanism BART BERT Bias Mitigation Distillation Efficiency and Optimization EMNLP Ethics and Bias Fairness Few-Shot Fine-Tuning GPT Has Code In-Context Learning Interpretability Interpretability and Explainability Language Modeling Masked Language Model Model Architecture Multimodal Models NeurIPS Pre-Training Prompting Pruning Quantization RAG Reinforcement Learning Responsible AI Scaling Laws Security Survey Paper Tokenization Tools Training Techniques Transformer Vector IndexingAbout This Site
This site is an experiment: a living literature review that allows you to explore, search and navigate the literature in this area.
Contributing
This research area is evolving so fast that a static review cannot keep up. But a website can! We hope to make this site a living document. Anyone can add a paper to this website by completing a web form.
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