How I Fine-Tuned a 7B AI Model on My Laptop (and What I Learned)
Author(s): Manash Pratim Originally published on Towards AI. How I Fine-Tuned a 7B AI Model on My Laptop (and What I Learned) Most people think training large language models requires data centers, huge GPUs, and complex hardware setups. A year ago, that …
Fine-Tuning a Small LLM with QLoRA: A Complete Practical Guide (Even on a Single GPU)
Author(s): Manash Pratim Originally published on Towards AI. Large Language Models are amazing but what if you could turn one into your own domain expert? Large Language Models (LLMs) like GPT-4 or Llama 3 are incredible generalists. They can write essays, answer …
Transformer in Action —Optimizing Self-Attention with Attention Approximation
Author(s): Kuriko Iwai Originally published on Towards AI. Discover self-attention mechanisms and attention approximation techniques with practical examples The Transformer architecture, introduced in the “Attention Is All You Need” paper, has revolutionized Natural Language Processing (NLP). Photo by NordWood Themes on UnsplashThis …
Claude Projects, Sub-Agents, or Skills? Here’s How to Actually Choose
Author(s): Mayank Bohra Originally published on Towards AI. Most people pick the wrong Claude tool for their task and wonder why AI isn’t working. Here’s the decision framework that eliminates guesswork, from someone who’s tested all three in production. I watched a …
Why Language Models Are “Lost in the Middle”
Author(s): Mohit Sewak, Ph.D. Originally published on Towards AI. Our most powerful AIs can read a library of information, but they often forget what’s in the middle chapters. Let’s talk about the weirdest, most hilarious, and frankly, most important problem in AI …
How to Easily Fine-Tune the Donut Model for Receipt Information Extraction
Author(s): Eivind Kjosbakken Originally published on Towards AI. How to Easily Fine-Tune the Donut Model for Receipt Information Extraction The Donut model in Python is a model to extract text from a given image. This can be useful in several scenarios, for …
Learn SARSA the Easy Way: Your First Temporal Difference Algorithm
Author(s): Rem E Originally published on Towards AI. Tutorial 9.1: Implementing the SARSA Algorithm for Our Maze Problem Now we’re ready to start implementing our first Temporal Difference (TD) method: SARSA! This tutorial builds on Tutorial 8.2, so make sure to check …
How to Protect Your AI SaaS From Prompt Injection and Bad Users
Author(s): Ahmed Boulahia Originally published on Towards AI. Learn how to stop prompt injection attacks in AI chatbots, SaaS applications, and generative AI tools using a smart LLM-as-a-Judge security layer for safe and reliable responses. Let’s start with a fact! AI-powered SaaS …
AI Agent Revolution: How Anthropic Cut Token Usage by 98% with Code Execution
Author(s): AbhinayaPinreddy Originally published on Towards AI. The Problem That’s Been Quietly Killing AI Agents Imagine hiring an assistant who needs to read a 500-page instruction manual before making a simple phone call. That’s essentially what’s been happening with AI agents — …
Build a Blazing-Fast YouTube Summarizer: Groq, LangChain, and Streamlit
Author(s): A.Venkatesh Originally published on Towards AI. Introduction In the age of infinite content, who has time to watch a 45-minute technical video to find a single piece of information? We need instant knowledge. Youtube Video Summarizer with translation, notes and recommendationsThis …
Automation Redefining Startup Success in 2025
Author(s): Intelligent Hustle Originally published on Towards AI. Source: Image by author The startup landscape has fundamentally shifted. What once required teams of dozens can now be accomplished by lean crews of five, armed with the right AI automation tools. This isn’t …
The Proof is in the Preference: Why DPO is the New RLHF
Author(s): DrSwarnenduAI Originally published on Towards AI. The Proof is in the Preference: Why DPO is the New RLHF Stop debugging PPO. Direct Preference Optimization solved the alignment puzzle with a single, stable loss function. Stop debugging PPO. Direct Preference Optimization solved …
The AI Revolution Nobody Saw Coming: How DeepSeek OCR Just Made Your Documents 10x Cheaper 🚀
Author(s): MahendraMedapati Originally published on Towards AI. The AI Revolution Nobody Saw Coming: How DeepSeek OCR Just Made Your Documents 10x Cheaper 🚀 Remember when we thought scanning documents was solved? Yeah… about that. Image description not provided in the original content.The …
From ChatGPT User to AI Builder: The Complete 2025 Guide Nobody’s Talking About 🚀
Author(s): MahendraMedapati Originally published on Towards AI. How I went from copy-pasting prompts to building real AI tools that actually solve problems (and why you should too) Hey friend! 👋 Image not captioned.This article explores the author’s journey from merely using AI …
Why Your AI Agent Will Fail Without Human Oversight
Author(s): Sai Kumar Yava Originally published on Towards AI. Human in the Loop : Building Reliable AI Picture this: Your company deploys an AI agent to handle customer support tickets. For weeks, it works beautifully — until one day it confidently tells …
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