Tokens are generated by LLMs when decomposing text. Tokenization is the first step in LLM training. LLMs analyze semantic relationships between tokens
Provides unified interface for multiple LLM APIs including KoboldAI, Horde, and OpenAI. Includes visual novel mode, image generation, TTS, and customizable UI. Features character cards for persistent conversations with LLMs. Offers extensive customization options and user personas
Supports Llama 3.3, Mistral, Gemma 2 and other large language models. Requires minimum 8GB RAM for 7B models, 16GB for 13B, 32GB for 33B. Available for macOS, Windows, Linux and Docker
Google Gemini offers free version with creative capabilities, surpassing ChatGPT in reasoning. Claude 3.5 Sonnet provides better coding and reasoning than ChatGPT 4o. Microsoft Copilot offers free access to GPT-4 Turbo model. Meta AI uses Llama 3.1 70B model, completely free to use
RAG optimizes LLM output by referencing external knowledge bases. Extends LLM capabilities without retraining for specific domains. Improves LLM output relevance and accuracy in various contexts
Hugging Face's Transformers repository hosts pre-trained NLP models with extensive documentation. AutoGPT aims to make AI accessible through semi-autonomous agents and customizable templates. Stable Diffusion WebUI provides browser-based interface for text-to-image generation. LangChain simplifies LLM application development with standardized interface