Generative AI is probably the best product from humankind since fire and baked bread. This analogy stands valid with respect to its comparison with fire because when fire...
"Our goal is to redefine the interaction between technology and personal data. We envision an AI that is not just a tool used by the masses but an extension of the indivi...
I am pleased to announce the release of my updated “Thinking Like a Data Scientist” workbook. As a next step, I plan to work on a supplemental workbook incorp...
We all know the drill – microservices are the rockstars of the application architecture world, offering agility, scalability, and that ever-elusive dream of clean, main...
For our 4th episode of the AI Think Tank Podcast, we explored cybersecurity and artificial intelligence with the insights of Tim Rohrbaugh, an expert whose career has tr...
Background Retrieval Augmented Generation(RAG) is an approach for enhancing existing LLMs with external knowledge sources, to provide more relevant and contextual answers...
Background We follow on from the last post and explore the limitations of RAG and how you can overcome these limitations using the idea of a GRAPHRAG. The GRAPHRAG combin...
Roundtable Discussion with Rebecca Bultsma and Ahmad Jawad In the latest episode of the AI Think Tank Podcast, we ventured into the rapidly evolving intersection of artif...
Payment fraud is a significant issue for banks, customers, government agencies and others. However, advanced predictive analytics tools can reduce or eliminate it. ...
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...