Features
Over 275 custom-made figures
Practical code labs in Python using Hugging Face, PyTorch
Covers tokenization, embeddings, and model architectures
Step-by-step guide to semantic search with sentence-transformers
Implementation of retrieval-augmented generation (RAG)
Fine-tuning LLMs for custom tasks
Building chatbots and conversational AI
Deployment strategies for LLMs
Comparison of generative vs. representational models
References to key research papers and historical context
Interactive Jupyter notebooks available on GitHub
Visual timeline of LLM development
Companion website with supplementary resources
Official LLM leaderboard and ranking
Battle Mode for side-by-side model comparison
Agent Mode for real-world agent evaluation
Multimodal Max for multimodal model testing
Code Arena with web development challenge categories
BullshitBench for nonsense detection evaluation
File upload for third-party AI processing
Public conversation sharing for community research
Leaderboard dataset publicly available
Monthly arena updates across product and research
Search functionality for models and conversations
Community voting on model responses
