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… Read More »Understanding GraphRAG – 2 addressing the limitations of RAG
Payment fraud is a significant issue for banks, customers, government agencies and others. However, advanced predictive analytics tools can reduce or eliminate it. Minimizing false… Read More »How predictive analytics improves payment fraud detection
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… Read More »Understanding GraphRAG – 3 Implementing a GraphRAG solution
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… Read More »Quantization and LLMs – Condensing models to manageable sizes
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… Read More »Diffusion and denoising – Explaining text-to-image generative AI
Since data varies from industry to industry, its impact on digitalization efforts differs widely — a utilization strategy that works in one may be ineffective… Read More »How data impacts the digitalization of industries
Window functions are an advanced feature of SQL that provides powerful tools for detailed data analysis and manipulation without grouping data into single output rows,… Read More »Using window functions for advanced data analysis
Nowadays, almost all businesses use generative AI and large language models after realizing their ability to boost accuracy in various tasks. These AI models have… Read More »Get ready for future innovations with large language models
Think of a battlefield — not filled with soldiers but cyber warriors. The Defense Industrial Base (DIB) stands as the front line. This digital battleground… Read More »5 mistakes to avoid in CMMC compliance
