Built Myself an AI Co-Founder — GenAI, Agentic AI (Multi-Agents using Phi)
Author(s): Aravind Naidu Originally published on Towards AI. Walk with me to know how I built an AI Co-Founder for my ideas. Now I go from one line idea to Idea Validation, Market Research, Business Modelling to a Pitch in under a …
The Next Frontier: Transforming Enterprise Databases into AI-Powered Knowledge Systems
Author(s): Kartik Shah Originally published on Towards AI. The Next Frontier: Transforming Enterprise Databases into AI-Powered Knowledge Systems The landscape of AI is rapidly evolving. Agentic AI is poised to revolutionize how organizations leverage their most valuable asset — data. Today, vast repositories of …
Explainable AI in Action: Health Risk Prediction with LangGraph, MCP, and SHAP.
Author(s): Vikram Bhat Originally published on Towards AI. Step-by-Step Guide: Turn a Scikit-learn Model into a Fully Explainable AI Chatbot Using MCP, SHAP, and LangGraph Agents in Streamlit. In modern AI systems, machine learning models alone aren’t enough. You also need ways …
Important LLM Papers for the Week From 14/07 to 20/07
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 …
The Complete Guide to Context Engineering Framework for Large Language Models
Author(s): MKWriteshere Originally published on Towards AI. Why prompts are dead and how dynamic context assembly, RAG systems, and memory hierarchies are creating the next generation of AI applications You’ve probably noticed something strange happening with AI lately. Image Generated by Author …
🚀 Stop Building Cookie-Cutter ML Projects: A Blueprint for Portfolio Success That Actually Gets You Hired
Author(s): MahendraMedapati Originally published on Towards AI. 🚀 Stop Building Cookie-Cutter ML Projects: A Blueprint for Portfolio Success That Actually Gets You Hired Picture this: You’re a hiring manager scrolling through dozens of portfolios, and you see yet another Titanic survival predictor. …
Preference Learning and Deep Reinforcement Learning (TD3) for Multi‑Manager Portfolio Strategy Selection
Author(s): Shenggang Li Originally published on Towards AI. From Human Manager Trajectories to a Unified Adaptive Allocation Policy via AHP‑Guided Preference Modeling and Actor–Critic Optimization Traditional asset allocation faces challenges in balancing multiple objectives: Photo by Markus Spiske on UnsplashThis article addresses …
Experiential Chain of Thought (E-CoT): A Framework for Self-Improving Reasoning via Segmented Experience Memory
Author(s): Marc Lopez Originally published on Towards AI. How AI can learn from its own successes and failures to reason more effectively. Large Language Models (LLMs) have shown an incredible ability to reason, largely thanks to techniques like Chain of Thought (CoT) …
Machine Bullshit: Why AI Systems Care More About Sounding Good Than Being Right
Author(s): MKWriteshere Originally published on Towards AI. Scientists just proved that making AI more helpful also makes it more deceptive — and the results are shocking Your AI assistant just told you that “studies suggest this laptop may provide enhanced performance benefits …
Important LLM Papers for the Week From 07/07 to 13/07
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 …
Build Your Own AI Assistant with RAG: A Practical Guide for GenAI Engineers
Author(s): Aayushi_Sharma Originally published on Towards AI. Build Your Own AI Assistant with RAG: A Practical Guide for GenAI Engineers “How can I make ChatGPT answer questions from my own documents?” If you’ve ever wondered that, you’re in the right place. Welcome …
Introduction to Multimodality With LLaVA
Author(s): Marcello Politi Originally published on Towards AI. Learn how to implement multimodal AI on low-resource hardware In the last couple of years, I have worked mainly with large language models, training, fine-tuning, prompting and so on, since this was highly requested …
End-to-End Guide to Building and Deploying an MCP Server for AI Toolchains
Author(s): Vikram Bhat Originally published on Towards AI. Step-by-step guide to create, test, and deploy an MCP server using Python and FastMCP In the world of AI tooling and agent frameworks, one challenge remains consistent: how do we let LLMs interact with …
Generate Synthetic Data to Build Robust Machine Learning Models in Data Scares Scenario
Author(s): Kuriko Iwai Originally published on Towards AI. Explore statistical approaches to transform experts knowledge into data with practical examples Machine learning models need to be trained on sufficient, high-quality data that will recur in the future to make accurate predictions. Photo …
🤝 Quantifying Gain — A Data Scientist’s Intro To Information Theory — Part 5/5: Mutual Information
Author(s): Eyal Kazin PhD Originally published on Towards AI. Mutual Information made intuitive — with practical ML examples in Python. 🐍 This is the fifth and final article in our introductory series on quantifying information — a foundational framework for data scientists. …
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