Artificial intelligence (AI) is a broad concept that refers to systems that can mimic human intelligence, such as sensing, reasoning, acting, and adapting. Machine learning (ML) is a subset of AI that allows a machine to learn and improve from experience.
The most common reason an AI system “hallucinates” in production isn’t that the model is dumb. It’s that we’re drowning it. In the last year, many teams have quietly adopted a pattern that looks sophisticated on paper: throw everything into the prompt. Policies, API...
Supercharge Your AI Pair Programming Experience with Project-Specific Context and Control AI-assisted development has rapidly transformed how engineers write code, collaborate, and ship software. GitHub Copilot, powered by OpenAI’s Codex and now evolving with GPT-5...
There’s no denying the massive wave of excitement around Agentic AI, Multi-Agent Systems, Generative AI, and Large Language Models (LLMs). Whether it's people experimenting with Copilots, implementing RAG (Retrieval-Augmented Generation) patterns, spinning up AI...
In the current cloud-first world, where agility, automation, and scalability are required, there are few tools that have left as profound a mark on...
There’s a quiet rebellion happening in AI development. Developers are increasingly bypassing traditional planning and documentation processes in...
The journey from junior engineer to senior Cloud, DevOps or even AI professional can feel like climbing an ever-growing mountain. New tools....
When working with Large Language Models (LLMs), generating structured outputs like CSV (Comma-Separated Values) is invaluable for tasks such as data...
When building Generative AI and Retrieval-Augmented Generation (RAG) LLM-based solutions, the quality and structure of input data significantly...
As developers, we often find ourselves building smarter, more context-aware applications. Whether it’s powering a document search tool or...
Microsoft has announced a partnership with Anthropic to develop an official C# Software Development Kit (SDK) for the Model Context Protocol (MCP)....
When working with LLMs, an extremely valuable use case is generating structured data as the output response of the AI prompt. Whether you're...
Large language models (LLMs) are revolutionizing the way we build software. But as the scope of intelligent applications grows, so does the need for...
OpenAI has announced a substantial new funding round, raising $40 billion at a $300 billion post-money valuation. The financing, revealed on March...
Enterprise computing is undergoing a radical transformation. As businesses strive to remain competitive in an AI-driven world, a new paradigm is...
There are times when it's necessary to download the text transcript of a YouTube video using Python. This can be done with the help of the...
Generative AI is evolving rapidly, and developers are increasingly looking for efficient ways to manage multiple LLMs (Large Language Models) using...
Generative AI systems using Large Language Models (LLMs) like GPT-4o process natural language input through a series of computational steps:...
The need to efficiently search and retrieve documents based on their semantic content is more important than ever—especially when building...
Artificial Intelligence (AI) is evolving at a rapid pace, with machine learning techniques becoming more sophisticated and efficient. One of the...
A Deep Research AI Agent is an advanced AI-driven system designed to assist in conducting complex and large-scale research. It leverages...
Artificial Intelligence (AI) models have rapidly evolved to perform various tasks ranging from text generation to natural language understanding....