With the rapid evolution of generative AI, technical terms related to AI technologies have proliferated. Here's a guide to understanding the distinctions and applications of these frequently mentioned terms: LLM (Large Language Model) Description:Large Language Models are

As technology evolves, so does the demand for programming languages that adapt to new trends, industries, and innovations. By 2025, the programming landscape will continue to be shaped by artificial intelligence, data science, cybersecurity, web development, and

The rapid growth in artificial intelligence has unlocked immense possibilities for developers. Integrating AI models into applications is now easier than ever, thanks to accessible APIs that directly bring powerful machine learning models into our software ecosystems.

Spring AI is a cutting-edge application framework designed specifically for AI engineering. Its primary objective is to bring the proven principles of the Spring ecosystem, such as portability, modular design, and the use of Plain Old Java

You can use ChatGPT for everything from mathematics, coding, editing, generating campaign ideas, creating reports, and more.  Here are some important use cases of ChatGPT for different functions at the workplace: ChatGPT in human resource management (HR)

Artificial Intelligence (AI) has revolutionized the smartphone experience, enhancing visual, text, and audio capabilities. Apple, Google, Samsung, and Huawei are at the forefront, using AI to push their devices beyond traditional functions. Here’s a closer look at

In a pioneering effort, doctoral students from Oregon State University have joined forces with Adobe researchers to develop a novel and cost-effective training technique to reduce social biases in AI systems. This innovative method, named FairDeDup, short

Today, data has largely replaced humans in driving critical strategic business decisions in enterprises. With data's growing importance, the demand for data experts has risen dramatically in recent years. Companies have a wide range of data-related employment

What is Low-Code Development? Low-code is a modern approach to software development that uses minimal coding and programming languages. Coding may be required, but it is used in very specific areas. Low-code development may require developers with

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data. This is done by retrieving data/documents relevant to a question or task and providing