North America
×

How would you like to connect to Sales?

Get a Call Send an Email Schedule a Meeting

Generative AI

March 24 2025
Transformer Models

Integrating AI-Powered Chatbots in Mobile Apps with Transformer Models

Reading Time: 3 minutes Imagine this: You’re browsing your favorite e-commerce app late at night, searching for the perfect pair of shoes. As questions arise—about size, delivery times, or even current promotions—you hesitate. No human customer service is available at this hour, but instead of waiting until morning, you tap a button labeled Chat Now. Instantly, a conversational interface

March 21 2025
ReAct Agents vs Function Calling Agents

React Agents vs Function Calling Agents

Reading Time: 4 minutes Large Language Models (LLMs) have completely transformed our interactions with technology. LLMs have enabled a number of important tasks like creative content creation, content summarization, and answering questions. Nevertheless, they also have challenges and limitations. Their capabilities are frozen during their training; they don’t have the potential to engage with external systems (such as databases

March 14 2025
Digital Twins in Healthcare

Use Cases & Benefits of Digital Twins in Healthcare

Reading Time: 5 minutes Digital twins are among the innovative technologies rapidly reshaping the healthcare industry. These virtual replicas are crucial in advancing healthcare practices and enhancing medical organization efficiency and patient care. In 2023, the digital twin market in healthcare was valued at around $1.6 billion, and industry experts predict it will surge to over $21.1 billion by

March 3 2025
Structured outputs

Structured Outputs in LLMs: Definition, Techniques, Applications, Benefits

Reading Time: 5 minutes Large Language Models (LLMs) have advanced significantly in recent years. Today, LLMs have been transforming industries by automating text generation, enhancing communication, and even helping them in complex decision-making. Traditionally, LLMs produce unstructured outputs in the form of free-flowing text. However, a new paradigm is emerging: structured outputs, which represent a more organized and predictable

February 21 2025
digital twins

The Rise of Digital Twins – Virtual Replicas of the Physical World

Reading Time: 4 minutes The concept of digital twins is swiftly revolutionizing fantasy into reality. The virtual replicas (once limited to industrial uses) are now being created for the most advanced systems we all know – human beings. Suppose you have a digital counterpart that looks similar to you and also communicates and behaves as you would. This digital

February 17 2025
synthetic data

How Synthetic Data Generation Using Generative AI Helps Businesses

Reading Time: 4 minutes Data is everywhere on the internet. Whether you go on social media or do online shopping, we create huge amounts of data on a daily basis. Businesses and society use high-quality data for decision-making purposes and to shape the future outlook of their businesses. But what does your business do when it finds it daunting

January 31 2025
Structured outputs

The Ultimate Guide to Structured Outputs in Large Language Models

Reading Time: 6 minutes In the past two years, AI has become a popular conversation starter, whether you’re chatting in a formal meeting or a casual setting. Today, nearly everyone has a sense of what AI is and what it can accomplish. Yet, understanding how AI truly works beneath the surface remains challenging or unfamiliar to most. Let’s explore

January 29 2025
ANI vs AGI vs ASI

Exploring the Stages of AI: ANI vs AGI vs ASI

Reading Time: 6 minutes Artificial intelligence (AI) is rapidly transforming industries, and it’s crucial to understand what AI can do and its effects. AI can generally be grouped into three categories: Narrow AI (ANI), General AI (AGI), and Artificial Superintelligence (ASI). This article will explore these three types and how they compare. AI 101: What is Artificial Intelligence? At

January 1 2025
Generative Adversarial Networks

Advanced Architectures for Generative Adversarial Networks (GANs)

Reading Time: 5 minutes Ian Goodfellow et al. introduced Generative Adversarial Networks (GANs) in 2014. Since then, they have reinvented generative modeling and opened up an innovative area of research. In addition to this, advancements in machine learning have enhanced the architectures of GANs. This has led to showing more promising results in creating realistic images. Generated adversarial networks

September 20 2024
RAG

The Impact of RAG (Retrieval-Augmented Generation) on the Future of Generative AI

Reading Time: 4 minutes Generative AI is changing industries with time. It excels brilliantly in various contexts and multiple tasks, with higher accuracy and speed than humans. However, because of generative AI models’ unpredictable and occasional errors, which vary from eccentric to offensive, few users and businesses are reluctant to embrace this all-rounder technology completely. This caution is completely