Data fitness and its impact potential on enterprise agility
Illustration by Dirk Wouters on PIxabay I had the opportunity to attend Enterprise Agility University’s prompt engineering course in April. The course provided a helpfu...
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Why is AI different? It Can Guide Our Societal Aspirations
Traditional analytics optimize based on existing data, reflecting past realities, limitations, and biases. In contrast, AI focuses on future aspirations, identifying the ...
Understanding GraphRAG – 1: The challenges of RAG
Background Retrieval Augmented Generation(RAG) is an approach for enhancing existing LLMs with external knowledge sources, to provide more relevant and contextual answers...
Optimizing model training: Strategies and challenges in artificial intelligence
When you do model training, you send data through the network multiple times. Think of it like wanting to become the best basketball player. You aim to improve your shoot...
Losing control of your company’s data? You’re not alone
Photo by Hermann Traub on Pixabay Losing control of your company’s data? You’re not alone To survive and thrive, data likes to be richly and logically connect...
How to implement big data for your company
Big data analytics empowers organizations to get valuable insights from vast and intricate data sets, offering a pathway to improved decision-making, excellent performanc...
How predictive analytics improves payment fraud detection
Payment fraud is a significant issue for banks, customers, government agencies and others. However, advanced predictive analytics tools can reduce or eliminate it. ...
Understanding GraphRAG – 3 Implementing a GraphRAG solution
In this third part of the solution, we discuss how to implement a GraphRAG. This implementation needs an understanding of Langchain which we shall also discuss. As we hav...
Quantization and LLMs – Condensing models to manageable sizes
The scale and complexity of LLMs The incredible abilities of LLMs are powered by their vast neural networks which are made up of billions of parameters. These parameters ...
Diffusion and denoising – Explaining text-to-image generative AI
The concept of diffusion Denoising diffusion models are trained to pull patterns out of noise, to generate a desirable image. The training process involves showing model ...