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Agentic AI
A Deep Dive into How AI Can Learn From Its Own Mistakes—In Real-Time AI agents have become increasingly capable: they write, summarize, code, search, and even coordinate tasks. But …
Agentic AI
What Is a ReAct Agent? The ReAct framework stands for Reason + Act, and it represents a paradigm shift in how large language models (LLMs) like GPT-4 interact with …
Agentic AI
Introduction In the rapidly evolving landscape of artificial intelligence, prompt engineering has emerged as a pivotal skill. It involves crafting effective inputs (prompts) to guide large language models (LLMs) …
Agentic AI
Agentic AI represents one of the most profound shifts in how we conceive and build intelligent systems. Moving beyond simple prediction engines or task-specific models, agentic AI introduces autonomy, …
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I’ve been building apps for years—web apps, internal tools, customer portals. I’ve spent countless hours wireframing UI flows, debating button placements, and testing dropdown logic. But over the past …
Uncategorized
When we think about deploying AI systems, we usually focus on the sexy parts: training large models, building smart agents, chaining prompts, or integrating APIs. But there’s a hidden …
Agentic AI
In the not-so-distant past, pair programming was a scene straight from a startup’s open office: two developers hunched over a single keyboard, brainstorming, arguing over best practices, and together …
Agentic AI
The buzz around agentic AI is growing louder—and for good reason. While traditional LLM apps respond to prompts, agentic systems think, act, and coordinate. They don’t just generate text—they …
Agentic AI
India’s Generative AI Moment India has long been the world’s technology back-office, powering global digital transformation from behind the scenes. But now, with the rise of foundational models and …
Agentic AI
Precap LLMs are powerful, but they aren’t agents by themselves. Tools let LLMs interact with data, systems, and the real world. Combining LLMs with tools enables agent behavior: autonomy, …
