Artificial Intelligence (AI)

AI in software engineering is driving a range of breakthroughs, with enterprises viewing it as a new form of infrastructure. Nowadays, embedding AI into software applications not only improves the software development life cycle but also enables organizations to better serve their customers. Hence, AI is emerging as a revenue-generating tactic for businesses rather than […]

AI agents in healthcare settings are expected to revolutionize the field in various aspects. In general, fundamental AI offerings, such as LLMs, serve basic purposes, such as answering queries. In contrast, AI agents offer several promising, practical features. They go beyond basic functionality to more advanced processes, such as assisting with planning and improving tool

An Introduction to AI Tool Calling AI tool calling, a function call, is very important for running AI applications. Its primary purpose is to enable the AI model to access information beyond its built-in limits. For example, if you ask an AI model to give the current date and time, it generally cannot predict real-time

Prompt Engineering: An Introduction Prompt engineering skills for software developers are the need of the hour, as they will help them fetch effective output from generative AI models. There is a great difference between normal prompts and well-structured, high-quality prompts. The latter generate effective outcomes from the AI. So, developers must spend quality time and

AI Agents and Workflows: Understanding the Key Differences Workflow agents follow predetermined, fixed steps that are safer, more predictable, faster to deploy, and easier to test. Autonomous agents, on the other hand, enable dynamic decision-making. However, these AI agents entail greater risk, are harder to test due to greater engineering complexity, and are less predictable.