Narrow AI is another term for traditional AI. This AI is rule-based and follows pre-established rules and algorithms to carry out particular tasks. This AI element completes the task in accordance with the pre written program. Traditional AI is unable to produce new content or react to novel situations without extra programming. This type of […]
Explore MoreMan, 2025 is wild for AI. Everything’s changing at breakneck speed. The big headline? Agentic AI is coming in hot—think less “robot that waits for orders,” more “robot that figures stuff out and just does it.” AI’s basically growing up, planning, reasoning, and getting things done without someone constantly looking over its shoulder. And it’s […]
Explore MoreIn the rapidly evolving field of reinforcement learning (RL), having the right tools can make the difference between a successful project and weeks of frustration. Core RL Libraries and Frameworks 1. Gymnasium (formerly OpenAI Gym) Perhaps the most fundamental tool in any RL practitioner’s arsenal, Gymnasium provides a unified interface for reinforcement learning environments. […]
Explore MoreIntroduction In today’s technology-driven world, terms like Artificial Intelligence (AI) and Machine Learning (ML) are everywhere. From smartphone assistants to recommendation algorithms, these technologies shape our daily experiences. However, many people use these terms interchangeably, creating confusion about their actual meanings and applications. This comprehensive guide will clarify the differences between AI and ML, explore […]
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