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 …
The Best Optimization Algorithm for Your Neural Network
Author(s): Riccardo Andreoni Originally published on Towards AI. How to choose it and minimize your neural network training time. Developing any machine learning model involves a rigorous experimental process that follows the idea-experiment-evaluation cycle. Image source: unsplash.com.The article discusses various optimization algorithms …
We’re Running Out of Data to Feed Our AI
Author(s): Ole Schildt Originally published on Towards AI. AI’s relentless scaling is about to hit the limit. We’re running out of human data and AI can’t just train itself. Have you felt it too? That subtle feeling that while AI is getting …
Part 1: Preprocessing MIMIC-IV for Readmission Prediction
Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. Kicking off a hands-on series on building explainable AI models for healthcare In my last series, we tackled a critical question: How do we detect hallucinations in large language models built for clinical …
Don’t Fine-Tune That Model Yet: What I Wish I Knew Before Starting with LLMs
Author(s): Prisca Ekhaeyemhe Originally published on Towards AI. A practical guide to choosing between prompting, RAG, and fine-tuning from someone who learned the hard way. This year, I’ve spent a lot of time learning about Large Language Models (LLMs) and building applications …
Why Andrej Karpathy Says Software 3.0 is eating 1.0 and 2.0
Author(s): MKWriteshere Originally published on Towards AI. The Tesla AI architect predicts Software 3.0 will replace most code you write today You spend hours debugging syntax errors. You wrestle with complex frameworks. You translate business requirements into thousands of lines of code. …
Why Large Language Models Are Surprisingly Easy to Hack
Author(s): MKWriteshere Originally published on Towards AI. New research shows that AI systems costing millions to build can be fooled by simple tricks that require no technical knowledge whatsoever Your AI assistant just cost you $5,000. Image Generated by Author using Gpt-4oThe …
Build Smarter RAG Systems: Make It Context Aware
Author(s): Shreyansh Jain Originally published on Towards AI. A Practical Guide to Adding Context-Aware Intelligence to Your Retrieval-Augmented Generation Models For those who don’t have a Medium Membership, can read this article for free here: LINK AI Generated ImageThis article explains how …
70+ SQL Interview Questions Every Data Scientist Should Know
Author(s): Ajit Originally published on Towards AI. 70+ SQL Interview Questions Every Data Scientist Should Know SQL is a cornerstone skill for any data scientist. In interviews, you’ll be tested on both your ability to write correct queries and your deep understanding …
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