Choosing the Right Approach: LLMs vs. Traditional Machine Learning for Text Summarization
In an era where natural language processing (NLP) tools are becoming increasingly sophisticated and accessible, many look to automate text-related processes such as recognition, summarization, and generation to save crucial time and effort. Currently, both machine learning (ML) models and … Continue reading
Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence
Why do Large Language Models (LLMs) sometimes produce unexpected or inaccurate results, often referred to as ‘hallucinations’? What challenges do organizations face when attempting to align the capabilities of LLMs with their specific business contexts? These pressing questions underscore the … Continue reading
What is a Large Language Model (LLM)?
In late November of 2022, artificial intelligence (AI) research and development company OpenAI released ChatGPT, an AI chatbot powered by a Large Language Model (LLM). In the following year, the world witnessed a meteoric rise in the usage of … Continue reading
The Role of Ontologies with LLMs
In today’s world, the capabilities of artificial intelligence (AI) and large language models (LLMs) have generated widespread excitement. Recent advancements have made natural language use cases, like chatbots and semantic search, more feasible for organizations. However, many people don’t understand … Continue reading
The Journey of Data: From Raw Numbers to Actionable Insights with LLMs
Wondering how to take your data from its raw, decontextualized state and actually leverage it to produce actionable insights through the power of a Large Language Model (LLM)? The infographic below provides a visual overview of the 10 steps to … Continue reading