Generative AI use cases and applications across industries Generative AI demonstrates versatile applications across diverse industries, leveraging its capacity to create novel content, simulate human ...

In modern manufacturing, companies constantly grapple with various challenges: optimizing production workflows, minimizing downtime, maintaining stringent quality control, and managing costs ...

Benefits of an AI assistant for business AI assistants offer several benefits to businesses, helping streamline operations, enhance productivity, and improve customer satisfaction. Here are some ways ...

Media and entertainment The applications of AI in media and entertainment are: AI in game design and gameplay: AI elevates game design by improving Non-player Characters (NPCs) and refining mechanics, ...

The architecture of a Vision Transformer (ViT) model The Vision Transformer model has a powerful deep learning architecture for all the computer vision tasks and it is mainly based on the foundation ...

What is a Directed Acyclic Graph (DAG) in Bayesian networks? A Directed Acyclic Graph (DAG) is a type of graph that consists of nodes connected by directed edges (also called arcs/links), where the ...

NLP models used for named entity recognition Various approaches can be used for named entity recognition, but two of the most common ones are: Maximum Entropy Markov Model (MEMM), and Conditional ...

Choosing the right dataset for your model Generative AI models rely heavily on the dataset they are trained on to generate high-quality, diverse images. To achieve this, the dataset should be large ...

Additional information ReACT agents ReACT agent is more flexible than function calling agent, as it doesn’t rely on pre-defined functions. The LLM can choose its own actions based on its reasoning.

1. Card fraud AI agents are adept at detecting payment card fraud by analyzing transaction patterns and identifying anomalies. They can flag unusual spending behaviors, such as transactions that ...

ERC-20 token standards ERC-20 was first proposed in 2015 and was finally integrated into the Ethereum ecosystem two years later, in 2017. ERC-20 introduces the token standard for creating fungible ...

White Box Testing White box testing is also known as clear box testing/glass box testing/structural testing/open box testing. Here, you know the design or code of the software. The purpose is to check ...