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. ...
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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...
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 ...
Get ready for future innovations with large language models
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 become ...
5 mistakes to avoid in CMMC compliance
Think of a battlefield — not filled with soldiers but cyber warriors. The Defense Industrial Base (DIB) stands as the front line. This digital battleground faces ...
How is machine learning changing the landscape of FinTech?
Machine learning in FinTech is a critical enabler in tech-driven banking, where efficiency and innovation are key to staying ahead of the competition. It transforms obsta...
Human-centric AI through better transparency and disclosure
Interview with Gerry Chng In our very first public episode of AI Think Tank Podcast, I had the pleasure of hosting Gerry Chng, live from Singapore. Gerry serves as the Ex...
Growth of open-source AI technology and democratizing innovations
Not too long ago, Artificial Intelligence was a vague concept that mostly found its relevance in science fiction movies and books. But last year when ChatGPT, the Large L...
Question answering tutorial with Hugging Face BERT
What is Question Answering AI Question answering AI refers to systems and models designed to understand natural language questions posed by users and provide relevant and...
Significance of AI in agriculture
Artificial intelligence (AI) training datasets need to be prepared for agriculture to automate processes and enhance transparency through computer vision. Image annotatio...