Large Language Models
Neural network models trained on large text corpora to generate and understand natural language. Includes GPT, Claude, Llama, and similar transformer-based architectures with billions of parameters.
Claims (4)
Tandem Theory AI-Native Marketing Operations
Tandem Theory integrates AI-native workflows into marketing operations, using large language models to accelerate strategy, creative development, and campaign execution.
Constitutional AI Reduces Need for Human Harm Labels
Anthropic's Constitutional AI method trains AI assistants to be harmless using AI feedback rather than requiring human feedback labels for harmful content.
LLMs Improve Citation Accuracy with Structured Content
Large language models demonstrate significantly improved citation accuracy when referencing machine-readable content with structured provenance metadata.
llms.txt Proposes Standard for AI-Readable Site Descriptions
The llms.txt specification proposes a standardized format for websites to provide machine-readable descriptions to help AI systems understand site structure and content policies.