Vanita.ai 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
Welcome to Part 4 of the Deep Learning Interview Questions Series, where we explore critical topics related to training dynamics, scalability and real-world deployment. As AI models become more powerful and widespread, understanding how to optimize, scale, and maintain them is essential for modern deep learning engineers. This part will equip you with strong theoretical … Read more
Welcome to Part 3 of our Deep Learning Interview Questions Series. In this edition, we explore next-generation topics in deep learning, such as multimodal learning, diffusion models, long-context transformers, and interpretable AI. These concepts are crucial for engineers working on cutting-edge applications in computer vision, NLP and generative AI. Whether you are applying to AI … Read more
Welcome to Part 2 of our Deep Learning Interview Questions Series. This edition dives deeper into advanced architectures, training strategies and emerging topics in deep learning. From transformers and attention mechanisms to generative models like GANs and VAEs, these interview questions are curated to reflect modern AI industry demands. If you’re preparing for roles in … Read more
Welcome to Part 1 of our Deep Learning Interview Questions Series, your comprehensive guide to building a rock-solid foundation in deep learning. Whether you’re preparing for interviews at top AI companies or brushing up on neural network fundamentals, this guide covers 20 crucial interview questions with in-depth explanations. From understanding the anatomy of neural networks … Read more
