Vanita.ai In the fast-paced world of AI, every new release raises the bar, but OpenAI’s GPT-5 isn’t just an incremental update. It’s a next-generation AI model that delivers unmatched multimodal capabilities, extended memory, higher accuracy, and enterprise-grade customization setting a new benchmark for what generative AI can achieve. With the ability to process text, images, audio, … Read more
The artificial intelligence landscape is evolving at a rapid pace, and open-source models are taking center stage. One of the most exciting new players in this space is DeepSeek, an ambitious AI initiative delivering powerful, openly available language and code models. Designed to rival industry leaders, DeepSeek provides cutting-edge tools for natural language understanding, code … Read more
As artificial intelligence systems become increasingly complex and interconnected, the need for secure, scalable, and interoperable frameworks has never been greater. Traditional approaches to AI often result in isolated models that are difficult to scale, integrate, or maintain. To address this challenge, Microsoft Developer has introduced a powerful framework known as Model Context Protocol (MCP). … Read more
If you want to become an AI Engineer in 2025, you’re in luck — you no longer need to spend thousands of dollars or join long bootcamps. The internet is filled with high-quality, free resources from world-class educators, researchers, and AI practitioners. This guide brings together the best free learning resources for AI engineering covering … Read more
If you’re serious about learning machine learning but don’t want to spend thousands on bootcamps or degrees, YouTube offers some of the most valuable university-level courses completely free. From beginner-friendly introductions to advanced statistical modeling, these courses are taught by professors at Caltech, Stanford, MIT and top European universities. In this guide, we highlight nine … Read more
The world of AI agents is moving fast and this GitHub repository by Ashish Patel is one of the most comprehensive community-driven hubs for AI agent use cases, frameworks, and implementation-ready projects. Whether you’re an AI developer, product manager, startup founder, or researcher, this collection is a goldmine of practical insights and open-source tools. What … Read more
Retrieval-Augmented Generation (RAG) is a powerful method that enhances Large Language Models (LLMs) by integrating external knowledge through document retrieval. It’s widely used in real-world AI applications where up-to-date, factual, and domain-specific information is essential. If you’re looking for a step-by-step introduction to RAG from foundational concepts to advanced implementation techniques. LangChain’s 14-part video series … Read more
Welcome to Part 3 of our Agentic AI Interview Questions Series, where we go beyond theory and dive into how agentic AI systems are built, deployed, and aligned at scale. This installment focuses on advanced topics that appear frequently in senior-level interviews for AI research, applied AI, and autonomous system engineering roles. Let’s explore the … Read more
Welcome to Part 2 of our Agentic AI Interview Questions Series. After covering the foundational principles of agentic AI in Part 1 like task decomposition, memory and ReAct prompting, we now dive into more advanced aspects of designing, evaluating and aligning autonomous agents. If you’re targeting roles in cutting-edge AI research or product teams building … Read more
Welcome to Part 1 of our Agentic AI Interview Questions Series, your go-to guide for mastering the emerging field of agentic AI. With the rise of autonomous systems and intelligent agents that can reason, plan, and act independently, agentic AI is becoming a crucial topic in interviews for roles in cutting-edge AI research, product design … Read more
Welcome to Part 5 of our Deep Learning Interview Questions Series, where we explore the most cutting-edge areas in deep learning and large-scale AI. This post focuses on large language models (LLMs), alignment techniques, human feedback loops and the ethical challenges of deploying powerful generative AI systems. Whether you’re targeting research teams, safety roles, or … Read more