Alongside text-based large language models (LLMs) including ChatGPT, in industrial fields, GNN (Graph Neural Network)-based ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like ...

In the exciting world of artificial intelligence (AI), two standout technologies are making waves: Large Language Models (LLMs) like GPT-3 and Knowledge Graphs.

This means creating a knowledge graph, which is a data structure that encodes the relationships between entities in a graph. This encoding is done in the form of a subject-relation-object triple.

While much of the tech press is driving hype around large language models like ChatGPT, the academic press is making a more measured bet on small language models and graph connected data. Academic ...

The second step in generating a knowledge graph involves building a text prompt for LLM to generate a schema and database for the ontology. The text prompt is a natural language description of the ...

My bigger concerns lie in how organizations plan to test their LLM models and applications. Issues making the news include one airline honoring a refund its chatbot offered, lawsuits over ...

A large language model (LLM) is a type of artificial intelligence model that has been trained to recognize and generate vast quantities of written human language. Written by Contributors eWEEK ...

baby steps, baby steps Telling AI model to “take a deep breath” causes math scores to soar in study DeepMind used AI models to optimize their own prompts, with surprising results.