How to Build a Knowledge Graph in the Age of LLMs
Author(s): Michael Shapiro MD MSc Originally published on Towards AI. How to Build a Knowledge Graph in the Age of LLMs In recent years, LLMs have transformed the way we do almost everything. Knowledge graphs(KGs) have been there since the digital revolution …
Hybrid Time-Series Forecasting with LangGraph, Prophet & Large Language Models (LLMs)
Author(s): Vikram Bhat Originally published on Towards AI. Build a Local, Explainable Pipeline with Parallel Models, Automated Evaluation (RMSE/MAE/SMAPE), and Agent Explanations. Forecasting demand has always been a tricky mix of art and science. On one hand, classical statistical models like Prophet …
How to Perform Effective Data Cleaning for Machine Learning
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how you can improve your machine learning models using effective data cleaning Data cleaning is arguably the most important step you can perform in your machine-learning pipeline. Without data, your model algorithm improvements …
The Hidden Potential of RAG Pipelines in Augmented Analytics for Non-Experts
Author(s): Daksh Trehan Originally published on Towards AI. Bridging the Gap: How RAG Enables Scalable Insights Without Deep Technical Expertise in 2025 Picture this: A business analyst sifting through terabytes of IoT-generated data, expected to deliver insights on device performance trends. With …
Microsoft Just Solved AI’s Biggest Problem: Why Magentic-UI Changes Everything
Author(s): MKWriteshere Originally published on Towards AI. How human-AI collaboration beats pure automation every time with 71% better results Your AI assistant decides your quarterly budget spreadsheet needs “optimization” and helpfully converts all your financial data into interpretive haikus. Image Generated by …
Important LLM Papers for the Week From 28/07 to 02/08
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers must stay informed about the latest …
DigestAI: July 26-August 1, 2025 — What You Missed in AI World
Author(s): Gaurav Shrivastav Originally published on Towards AI. AI Hits the Gas Pedal: From GPT-5 Leaks to $4 Trillion Valuations — A Breakdown of This Week’s Wild Tech Moves Whew, what a week. If you blinked, you probably missed three major announcements …
The Agentic Web: How AI Agents Are Rewiring Internet Infrastructure
Author(s): MKWriteshere Originally published on Towards AI. From static pages to autonomous digital workers — the technical breakdown of how intelligent agents are fundamentally changing how we interact with the web. You check your email, browse social media, and order coffee online …
Complete Guide to Building Multi-Agent workflows in Langgraph: Network and Supervisor Agents
Author(s): Aayushi_Sharma Originally published on Towards AI. “What if your AI agents could collaborate like a team of experts, rather than working in silos?” In the evolving world of AI development, agent collaboration is fast becoming the next frontier. Imagine building workflows …
As a Data Analyst, How I Use AI to Get Information from YouTube Efficiently
Author(s): Henry Originally published on Towards AI. Tired of endless tutorials? Stop Spending 20 Minutes Watching Videos Just for a 2-Minute Answer People watch YouTube for many purposes. In this article, we are not talking about watching YouTube for fun, such as …
Google’s Deep Research 2.0: The AI That Finally Thinks Like Human Researchers
Author(s): MKWriteshere Originally published on Towards AI. How Test-Time Diffusion is revolutionizing AI writing by mimicking the messy, iterative process of expert research with 74% win rates against OpenAI Google just dropped something revolutionary. Image Generated by Author Using Gpt-4oThe article discusses …
How to Choose the Best LLM for Writing
Author(s): Fabio Chiusano Originally published on Towards AI. Main benchmarks, how they work, how to interpret them, and list of the best LLMs for real-world writing tasks Anyone who has used LLMs has likely noticed their distinct writing style. Image by the …
Context Engineering in Action: Four System Implementations Transforming AI
Author(s): MKWriteshere Originally published on Towards AI. How sophisticated system implementations are translating theoretical context engineering into deployable, intelligent AI architectures Context engineering sounds academic, but it’s driving the most practical AI breakthroughs happening right now. Image Generated by Author Using Gpt-4oThe …
Build an EDA Playground with Streamlit
Author(s): Himanshu Sharma Originally published on Towards AI. A hands-on guide to building your own Data Prep & Visualization app with Streamlit We’ve all been there: excited to try a new model on a fresh dataset, only to spend hours filling missing …
Everything You Need To Know About Context Engineering
Author(s): Fabio Chiusano Originally published on Towards AI. With 13 graphics to make concepts clearer If you’ve worked with Large Language Models, you’ve likely heard of “prompt engineering.” In the early days, getting the right output was all about crafting the perfect …
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