Stop Flattening Your Data! Why NdLinear Might Be Your AI’s Secret Weapon
Author(s): Vivek Tiwari Originally published on Towards AI. Linear layers are fundamental building blocks in countless neural networks, performing essential transformations on data. The standard approach, often implemented as nn.Linear in frameworks like PyTorch, typically operates on flattened input vectors, effectively treating …
How WhatsApp Handles 40 Billion Messages Per Day
Author(s): Kalash Vasaniya Originally published on Towards AI. Build to Prod: Secure, Scalable MCP Servers with DockerSource: From Generated using AI If you’re not a member but want to read this article, see this friend link here. The AI agent era is …
Improved PyTorch Models in Minutes with Perforated Backpropagation — Step-by-Step Guide
Author(s): Dr. Rorry Brenner Originally published on Towards AI. Perforated Backpropagation is an optimization technique which leverages a new type of artificial neuron, bringing a long overdue update to the current model based on 1943 neuroscience. The new neuron instantiates the concept …
Master AI Agents in 10+3 Simple Steps (No Prior Experience Needed)
Author(s): Subhadip Saha Originally published on Towards AI. Learn how to create powerful AI agents from scratch, even if you’re a complete beginner — step-by-step guidance included! “What if you could build a robot that talks to your customers and handles your …
From Newton to Neural Networks: Why Hallucinations Remain Unsolvable
Author(s): MKWriteshere Originally published on Towards AI. The Mathematical Paradox at the Heart of AI’s Greatest ChallengeImage Generated by Author Using Gpt-4o When you marvel at a large language model’s capability, remember it rides on centuries-old mathematics. Newton’s discovery of the derivative …
DeepSeek Explained Part 5: DeepSeek-V3-Base
Author(s): Nehdiii Originally published on Towards AI. Vegapunk №05 One Piece Character Generated with ChatGPT This article is the fifth installment of our DeepSeek series and the first to specifically highlight the training methodology of DeepSeek-V3 [1, 2]. As illustrated in the …
Enhance Your LLM Agents with BM25: Lightweight Retrieval That Works
Author(s): Syed Affan Originally published on Towards AI. Prerequisites Before diving in, you should have: Basic AI/ML understanding: concepts like language models, embeddings, and model inference. Software engineering skills: familiarity with Python, virtual environments, and package installation. Python libraries: comfort importing and …
Top 15 AI Projects for 2025 (Beginner to Advanced)
Author(s): Krishan Walia Originally published on Towards AI. Either you can watch it happen, or be a part of it — Top AI projects from beginner to advanced levels. Not a member?Feel free to access the full article from here. You may …
Model Context Protocol and CrewAI: Scaling Enterprise AI with Standardized Context
Author(s): Samvardhan Singh Originally published on Towards AI. In a world drowning in data yet starved for insight, enterprises need a bridge to unite fragmented systems and empower AI to deliver real-time, actionable decisions. Access the story for free here. Imagine you’re …
Claude, Excel, and a 1991 Masterpiece
Author(s): Han Qi Originally published on Towards AI. Photo from Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire The gist Transform a scanned PDF …
AI Engineer’s Handbook to MCP Architecture
Author(s): Vatsal Saglani Originally published on Towards AI. Part 5: CLI, WebSocket, and Web UIBlog Header Generated by the Author In our previous posts, we built a complete MCP architecture: specialized servers for file and command operations, a minimal MCP Client hub …
AI Engineer’s Handbook to MCP Architecture
Author(s): Vatsal Saglani Originally published on Towards AI. Part 4: Abstracting the LLM Layer: Connecting Models to MCPBlog Header Generated by the Author In our previous post, we built a minimal MCP Client hub, a lightweight FastAPI service that discovers tools from …
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 …
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