AI Engineer’s Handbook to MCP Architecture
Author(s): Vatsal Saglani Originally published on Towards AI. Part 3: The Minimal MCP ClientBlog Header Generated by the Author In the previous blog, we built two specialized servers: a File Management Server for document operations and a Run Command Server for shell …
AI Engineer’s Handbook to MCP Architecture
Author(s): Vatsal Saglani Originally published on Towards AI. Part 2: Building the Servers FirstBlog Header Generated by the Author In the previous blog, we laid out our nano-MCP architecture and built a mental model of the entire system containing the LLM Host, …
AI Engineer’s Handbook to MCP Architecture
Author(s): Vatsal Saglani Originally published on Towards AI. Part 1: Introduction to MCPBlog Header Generated by the Author In the last blog, I vented about the noise; in this blog we start writing code. In plain terms, MCP is the wiring (connection …
Inside the ‘Collaborative Filtering System’: Why You Click, Watch and Buy Without Thinking…
Author(s): R. Thompson (PhD) Originally published on Towards AI. Recommendation engines have become the silent architects of modern digital consumption. Whether it’s Netflix suggesting your next binge-watch series or Amazon promoting a product you didn’t know you needed, collaborative filtering plays a …
How Claude Discovered Users Weaponizing It for Global Influence Operations
Author(s): MKWriteshere Originally published on Towards AI. The terrifying discovery of a global shadow network orchestrating social media deceptionImage Generated by Author Using Gpt-4o (Non-Member Link) Imagine a world where your online interactions, the comments you receive, the posts you engage with, …
Data Analysis in Excel
Author(s): Lalit Kumar Originally published on Towards AI. A data scientist’s go to tool for basic analysis Data science is a dynamic and crucial field, which uses a diverse array of sophisticated techniques and algorithms to extract meaningful insights and actionable information …
Important LLM Papers for the Week From 07/04 to 14/04
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 need to stay informed on the …
Fine-Tuning an LLM to Predict the Rental Value of a Dwelling
Author(s): Tomer Gabay Originally published on Towards AI. How Large Language Models can be used for regression tasks.[image by Author] In the Netherlands, we have rules that determine the maximum rent allowed for a dwelling based on its properties and quality. These …
Best Resources to Build & Understand Vision Language Models
Author(s): Youssef Hosni Originally published on Towards AI. Vision-Language Models (VLMs) lie at the intersection of computer vision and natural language processing, enabling systems to understand and generate language grounded in visual context. These models power a wide range of applications — …
Exploring Deep Learning Models: Comparing ANN vs CNN for Image Recognition
Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. Have you ever wondered how well Artificial Neural Networks (ANN) perform compared to Convolutional Neural Networks (CNN) in classifying images? In this article, I’ll walk you through a hands-on project where we train …
How E-commerce Giants Use Data to Influence What You Buy
Author(s): Harshit Kandoi Originally published on Towards AI. Photo by Mark König on Unsplash Picture this: You’re casually scrolling through an online store, eyeing a techy new mobile. You haven’t bought it yet. A few hours later, it’s suddenly everywhere. Instagram ads, …
Unsupervised Learning Series #1: A Beginner’s Guide to Concepts and Models That Work
Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. “No Label, No Problem”. That’s the motto of Unsupervised Learning — a fascinating branch of machine learning where algorithms learn patterns from unlabeled data. Not part of the Medium’s partner program? No worries! …
The Power of Less: How Chain of Draft Makes AI Reasoning Faster and Cheaper
Author(s): MKWriteshere Originally published on Towards AI. In today’s AI landscape, large language models (LLMs) like GPT-4 and Claude can solve complex problems with impressive accuracy. But this capability comes at a cost, both in processing time and computational resources. What if …
Is AI Truly Thinking? Or Just Crunching Data Like a Pro?
Author(s): Harshit Kandoi Originally published on Towards AI. Photo by Matt Seymour on Unsplash “When my AI chatbot predicted my next question before I even thought? Or just guessing my queries based on my typos?” Welcome to the future, where AI models …
Is This the Future of Financial Analysis? RAG & Multi-Agent Systems Explained
Author(s): Saurab Originally published on Towards AI. The modern financial sector is drowning in data. The large volume and complexity are exploding, overwhelming traditional analysis methods. Quickly and accurately extracting insights from this digital ocean isn’t just an advantage anymore — it’s …
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