LAI #101: Designing Memory, Building Agents, and the Rise of Multimodal AI
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week, we explore how AI systems are becoming more structured, contextual, and multimodal. We examine how vision-language models like GPT-4o and Qwen 2.5 VL are redefining what …
Agentic AI Project: Build a Multi-Agent System With LangGraph
Author(s): Alpha Iterations Originally published on Towards AI. This is an end-to-end project on building a multi-agent insurance support system using Agentic AI [LangGraph and OpenAI API]. [Code Included]. Non members read here for free. Multi Agent System Architecture [Image by Author]The …
Production-Ready AI Agents: 8 Patterns That Actually Work (with Real Examples from Bank of America, Coinbase & UiPath)
Author(s): Sai Kumar Yava Originally published on Towards AI. Connecting Patterns to Production The gap between a demo AI agent and a production-ready system is vast. I’ve seen countless teams build impressive prototypes only to struggle when deploying to real users. The …
Your First AI Chief of Staff: How LLMs are Silently Revolutionizing Internal Operations for Lean Startups
Author(s): Intelligent Hustle Originally published on Towards AI. Source: Image by author Every successful leader understands the invaluable role of a Chief of Staff (CoS). This strategic partner serves as an operational glue, a force multiplier, and a trusted advisor, ensuring the …
How AI and ML Are Being Integrated Into Modern App Frameworks
Author(s): Sherry Walker Originally published on Towards AI. The role of artificial intelligence in software development is expected to reach a market value of over $120 billion by 2026. This growth is moving past standalone features and directly into the tools developers …
What I Learned from Google’s 5-Day AI Agents Intensive Course (Day 1): Building and Orchestrating Multi-Agent Systems with ADK
Author(s): Laura Verghote Originally published on Towards AI. Building reasoning agents with the Agent Development Kit (ADK), orchestrating the Think–Act–Observe loop, and exploring real multi-agent design patterns with Gemini. This week I am participating in Google’s 5-Day AI Agents Intensive Course. This …
How to Handle an Imbalanced Dataset In Machine Learning Using SMOTE
Author(s): Tanesh balodi Originally published on Towards AI. How to Handle an Imbalanced Dataset In Machine Learning Using SMOTE All that people ask for in a machine learning model is the accuracy of the model; this accuracy is sometimes nothing but a …
Unsupervised Machine Learning: A Complete Guide
Author(s): Alok Choudhary Originally published on Towards AI. Unsupervised Machine Learning: A Complete Guide Machine Learning can be broadly divided into two categories: supervised learning and unsupervised learning. While supervised learning deals with labeled data, where the goal is to predict an …
The Math Behind Kimi K2: How a Chinese Startup Beat Silicon Valley at 1% of the Cost
Author(s): DrSwarnenduAI Originally published on Towards AI. A complete mathematical breakdown of three architectural innovations that let $4.6M beat $500M — with proofs, intuition, and the blueprint for understanding I’ve spent the last 72 hours obsessively reverse-engineering Kimi K2’s architecture. Grab coffee. …
Securing FastAPI Applications
Author(s): Akash Verma Originally published on Towards AI. 1. Introduction Securing a FastAPI application is not just about adding layers of protection but about adopting a proactive mindset to safeguard user data and application integrity. FastAPI Official LogoThis article provides a comprehensive …
Implement Asynchronous Programming in Azure OpenAI for Task Parallelization.
Author(s): Akash Verma Originally published on Towards AI. Implement Asynchronous Programming in Azure OpenAI for Task Parallelization. When we request information from Azure Open AI one after the other in a step-by-step manner, it can take a long time to get all …
RAG: The Backbone of Modern AI Applications — What, Why, How, and the Latest Advancements
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Kevin Ku on Unsplash Artificial Intelligence has reached a stage where models can generate fluent, human-like text, but not always factually correct or context-aware. This is where Retrieval-Augmented Generation (RAG) comes into …
Nested Learning: The Future of AI That Never Forgets
Author(s): AbhinayaPinreddy Originally published on Towards AI. 🧠 The Billion-Dollar Problem Nobody Talks About Imagine spending months training an AI model to perfection. It aces every test, handles complex tasks beautifully, and you’re ready to deploy it. Then you teach it one …
Cognitive Automation: Unleashing the Autonomous Enterprise Brain
Author(s): Intelligent Hustle Originally published on Towards AI. Source: Image by author Remember when automation simply meant speeding up repetitive tasks? We’ve moved light years past that. Today, the conversation isn’t just about doing things faster, but about doing them smarter — …
Generative Ops: The AI Blueprint for Your Business to Self-Optimize & Thrive
Author(s): Intelligent Hustle Originally published on Towards AI. Source: Image by author For years, we’ve chased the dream of the “lights-out” operation, where automation handles the mundane. But what if your business could do more than just execute tasks? What if it …
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