Small Language Models
Dive into tailored AI built specifically for your business and data needs. This focus area champions efficient, compliant, and fully controlled AI solutions that scale with your enterprise goals.
RLM-on-KG: Recursive Language Models and the Future of SEO
Recursive Language Models (RLMs) treat prompts as environments to explore, not consume. We adapted this for Knowledge Graphs and discovered why structure, not bigger context windows, is the key to AI accuracy and search visibility.
The Hidden Entity Layer of ChatGPT: From Named Entities to Products
A deep dive into ChatGPT’s hidden semantic layer. By analyzing its SSE streams, we uncover how OpenAI’s web client structures entities, moderates outputs, and connects to a product graph that mirrors Google Shopping feeds.
Prompt Learning for Content Optimization
Streamline content creation with prompt learning: a scalable way to generate high-quality, aligned content without endless trial and error.
AI Agents and the Model Context Protocol: The Future of eCommerce, SEO, and Voice-Activated Shopping
Discover how AI agents and the Model Context Protocol are reshaping eCommerce, SEO, and voice-activated shopping, making AI your next key customer.
Future-Proofing Your Content: An Ontology-Driven Approach to Train Your Next SEO Agent
Learn how an ontology-driven strategy can future-proof your content and power the next generation of SEO agents with contextual intelligence.