Background Retrieval Augmented Generation(RAG) is an approach for enhancing existing LLMs with external knowledge sources, to provide more relevant and contextual answers...
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...
There are many ways to define “top influencer”. You may just ask OpenAI to get a list: see results in Figure 1. However, it states that the data is not recent...
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...
Big data analytics empowers organizations to get valuable insights from vast and intricate data sets, offering a pathway to improved decision-making, excellent performanc...
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...
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