Multi-Agent Workflows & The Right Data Foundation for The Next Evolution of Enterprise AI
Author(s): Tobi Beck Originally published on Towards AI. Single AI agents are hitting enterprise limits, but multi-agent workflows unlock 3–5x better performance through specialized collaboration — if you solve the data foundation challenge first. Source: Image by the author While most enterprises …
How I Used My Gmail Inbox to Uncover AI Agent Trends with Python
Author(s): Saleh Alkhalifa Originally published on Towards AI. A step-by-step journey from Gmail exports to uncovering the rise of AI Agents AI Agents and “agentic AI” have exploded in popularity in recent years, with milestones like AutoGPT, LangChain, and Anthropic’s MCP shaping …
I Built a Local Clinical AI Agent from Scratch — Here’s How
Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. How I wired GPT-OSS with custom tools to make clinical data actually usable. In my last experiment, I ran OpenAI’s new local model on my laptop and it extracted JSON from clinical notes …
Applied Mathematics: The Hidden Engine Powering Tomorrow’s Breakthroughs
Author(s): Saif Ali Kheraj Originally published on Towards AI. How applied mathematicians solve real-world optimization problems in industry In the world of operations research and applied mathematics, few algorithms are as elegant and powerful as the simplex method for solving linear programming …
Introduction to RAG: Basics to Mastery. 4-RAG with MCP- The Future of Dynamic Context Retrieval
Author(s): Taha Azizi Originally published on Towards AI. Part 4 of the mini-series introduction to RAG Introduction So far in this series, we’ve explored: Basic RAG with local semantic search. Hybrid RAG combining keyword + semantic search. Agentic RAG with multi-step reasoning …
Designing Data Pipeline Architectures for Machine Learning Models
Author(s): Kuriko Iwai Originally published on Towards AI. A practical guide to transforming raw data into actionable predictions A data pipeline architecture serves as the strategic blueprint for transforming raw data into actionable predictions. Photo by Ayush Kumar on UnsplashThe article discusses …
5 Prompting Techniques That Changed My Life as an AI Engineer (and Everyday AI User)
Author(s): Taha Azizi Originally published on Towards AI. How I stopped guessing prompts and started engineering them — for work, code, and everyday life. Personal + professional playbook from someone who uses LLMs for groceries, side projects, and production systems at large …
Predicting Premier League match wins using Bayesian Modelling
Author(s): Adil Said Originally published on Towards AI. Source: Photo by Samuel Regan-Asante on Unsplash Introduction Football is the greatest and most-watched sport in the world, and according to Fifa, it has around 5 billion fans worldwide. The Premier League is arguably …
LLMs Don’t Need Search Engines: They Can Search Their Own Brains
Author(s): MKWriteshere Originally published on Towards AI. SSRL Framework Proves AI Models Already Contain the Knowledge They Keep Looking Up We’ve been training AI to ask Google for answers when we should have been teaching it to remember what it already knows. …
Remember That Free Google CLI That Killed Cursor? It Just Got 10x Better
Author(s): Poojan Vig Originally published on Towards AI. Remember That Free Google CLI That Killed Cursor? It Just Got 10x Better Thousands of developers ditching Cursor and Windsurf overnight. Two months ago, I wrote about how Google’s free Gemini CLI was disrupting …
Human in the loop AI Workflows using Langgraph
Author(s): Aayushi_Sharma Originally published on Towards AI. 🔥What if you could pause an autonomous AI agent mid-task and steer it in the right direction — live? As AI agents become more powerful and autonomous, the need for human-in-the-loop (HITL) systems has never …
Fine-Tuning LLMs: From Zero to Hero with Python & Ollama 🚀
Author(s): MahendraMedapati Originally published on Towards AI. Ever wondered how to make AI models actually useful for YOUR specific needs? Let me show you how I went from confused beginner to fine-tuning wizard in just one weekend! Picture this: You’re trying to …
Labeling Cells with napari and Python: A Step-by-Step Guide for BioImage Analysis
Author(s): MicroBioscopicData (by Alexandros Athanasopoulos) Originally published on Towards AI. Labeling Cells with napari and Python: A Step-by-Step Guide for BioImage Analysis In this tutorial, we will go through a step-by-step guide on how to label cells using napari, an interactive multi-dimensional …
Proximal Policy Optimization in Action: Real-Time Pricing with Trust-Region Learning
Author(s): Shenggang Li Originally published on Towards AI. A Practical Guide to Actor–Critic Methods for Dynamic, Data-Driven Decisions Every time a customer opens an app or website, the platform must set a surcharge in milliseconds to balance rider supply, demand spikes, and …
Why Your Data Lake Needs BLM, Not LLM
Author(s): MKWriteshere Originally published on Towards AI. The “Godfather of Data Warehousing” reveals why LLM can’t solve enterprise text analytics. Your $15+ billion data lake investment just became a liability. Image Generated by Author Using Gpt-4oThis article highlights the failures of current …
Recent Posts
