Author(s): Rashmi Originally published on Towards AI. Agent Lightning: From Agent Experiments to Self-Improving AI Systems Agent Lightning is a training and optimization runtime for agents. Agent Lightning is an innovative, research-driven, open-source initiative by Microsoft that focuses on transforming agent executions …

Author(s): Rashmi Originally published on Towards AI. CNN vs RNN: Two Brains of Deep Learning Convolutional Neural Network (CNN) is a specialized deep learning architecture designed to process grid-like topology data, primarily images, by automatically learning spatial hierarchies of features through backpropagation. …

Author(s): Rashmi Originally published on Towards AI. Inside Latent Space: The Hidden Intelligence of AI Systems Latent space is the compressed “meaning space” where AI models transform messy real-world inputs (text, images, audio, sensor signals) into dense vectors (embeddings) that capture patterns, …

Author(s): Rashmi Originally published on Towards AI. Adversarial NLP in 2026: When Text Attacks Text Adversarial NLP is the study and practice of crafting text inputs that cause NLP systems to behave incorrectly — misclassify, leak secrets, follow malicious instructions, or take …

Author(s): Rashmi Originally published on Towards AI. LSTM vs GRU: Architecture, Performance, and Use Cases Imagine you’re reading a long book and trying to remember key plot points: The Reading AnalogyThe article delves into the comparison between Long Short-Term Memory (LSTM) and …

Author(s): Rashmi Originally published on Towards AI. Inference Is the New Training Inference Is the New Training refers to a paradigm shift where AI systems learn and adapt during inference time rather than just during pre-training. Instead of static models that only …

Author(s): Rashmi Originally published on Towards AI. Architecture Rot from Over-Reliance on AI Generation The Problem: AI generates working code but often creates architectural debt — poor separation of concerns, tight coupling, and no thought to scalability. Critical Pointers for AI Developers …

Author(s): Rashmi Originally published on Towards AI. AI Engineers in 2026 Need Less Math and More Architecture The AI engineering landscape is fundamentally transforming. Modern AI engineers increasingly focus on system design, orchestration, and integration rather than implementing algorithms from scratch. The …

Author(s): Rashmi Originally published on Towards AI. The Complete Guide to RAG Systems Retrieval-Augmented Generation (RAG) has revolutionized how we build intelligent systems by combining the power of large language models with external knowledge retrieval. As organizations struggle with hallucinations, outdated information, …

Author(s): Rashmi Originally published on Towards AI. Sentiment Cluster Analysis for Movie Reviews Project Sentiment cluster analysis combines sentiment analysis with unsupervised clustering to discover natural groupings in movie review data beyond simple positive/negative classifications. This approach reveals nuanced patterns like “enthusiastically …

Author(s): Rashmi Originally published on Towards AI. Text Summarization: Comprehensive Overview with and without RAG Text summarization is the process of automatically condensing longer text documents into shorter versions while preserving the key information and main ideas. No image caption availableThis article …

Author(s): Rashmi Originally published on Towards AI. LangGraph A LangGraph chatbot is best understood as: Chatbot = (State) + (Transitions) + (Node behaviors)This article explains the concepts and design principles of implementing a LangGraph chatbot, emphasizing the importance of structure, state management, …

Author(s): Rashmi Originally published on Towards AI. Stable Diffusion Project Implementation Stable Diffusion is a text-to-image generative AI model that creates high-quality images from natural-language prompts. It belongs to the Latent Diffusion Model (LDM) family and works by iteratively denoising random noise …

Author(s): Rashmi Originally published on Towards AI. General Python Interview Q&A (Basics → Tricky → Corner Cases) This article provides a comprehensive overview of various Python interview questions and answers, covering topics from basic concepts to tricky scenarios and corner cases. It …

Author(s): Rashmi Originally published on Towards AI. Visualization with Python libraries Seaborn and Matplotlib Matplotlib is low-level, flexible, and base for Seaborn. First content image in the article.This article explores the essential Python visualization libraries, Matplotlib and Seaborn, outlining their unique features …