Traditional RAG vs Graph RAG
Author(s): Kalash Vasaniya Originally published on Towards AI. Why Graph RAG Outperforms Classical Retrieval: A Smarter Path to Context-Rich AnswersSource: From https://x.com/akshay_pachaar If you’re not a member but want to read this article, see this friend link here. Graph RAG is next-level …
I Was About to Order Taco Bell Again. Instead, I Built an AI That Talks Me Down
Author(s): Mukundan Sankar Originally published on Towards AI. How I stopped craving with code and started reflecting with GPT-4A smartphone user browsing a pizza delivery app at night while a laptop nearby displays an AI-powered cravings journal. The pizza image is visible …
GPT-4.1, Mini, and Nano
Author(s): Naveen Krishnan Originally published on Towards AI. Image Source—unsplash.com The GPT-4.1 model series release through Azure AI Foundry represents a major step forward in AI capabilities. The model series provides multiple options that suit different application requirements, from complex reasoning to …
Having Streamlit Superpowers: The Best GPT-4 Prompts For Guaranteed Data Visuals
Author(s): John Loewen, PhD Originally published on Towards AI. No-fuss prompting for error-free Python Streamlit data viz code How easy is it to create data visuals with GPT-4 and the Python Streamlit library? Way easier than I ever expected! A little bit …
MCP is on Fire.
Author(s): Kalash Vasaniya Originally published on Towards AI. AI agents can now talk to real-world tools and apps and actually get stuff done.Source: From https://x.com/akshay_pachaar If you’re not a member but want to read this article, see this friend link here. This …
What Are AI Agents — and How Should We Think About Them?
Author(s): Tomer Simon, PhD Originally published on Towards AI. This article is adapted from a thread I originally shared on X, in response to the growing conversation around AI agents — also known as Agentic AI.Their emergence is reshaping how we think …
What Happened When Devin AI Took on 2,294 GitHub Bugs? The 13.86% That Changed Everything
Author(s): R. Thompson (PhD) Originally published on Towards AI. In the fast-changing landscape of AI-assisted productivity, Devin AI emerges as one of the most radical proposals to date. Developed by Cognition Labs, this autonomous AI software engineer isn’t just another Copilot-style assistant. …
Efficient Fine-Tuning of LLMs: LoRA and QLoRA in Enterprise AI LangGraph Workflows
Author(s): Samvardhan Singh Originally published on Towards AI. Efficiency in AI isn’t just about speed , it’s about making powerful models work for every business For those who don’t have the medium subscription, you can access this article for free here Large …
DeepSeek-V3 Explained, Part 1: Understanding Multi-Head Latent Attention
Author(s): Nehdiii Originally published on Towards AI. Vegapunk No.01 One Piece Character Generated with ChatGPT This is the first article of our new series “DeepSeek-V3 Explained”, where we will try to demystify DeepSeek-V3 [1, 2], the latest model open-sourced by DeepSeek. In …
In-Context Learning Explained Like Never Before
Author(s): Allohvk Originally published on Towards AI. As the Ocean (of knowledge) was stirred to search the elixir of life, something unexpected happened. Beautiful and magical things spontaneously started to emerge during the process… – From the episode of Samudra Manthan (The …
Decoding Intelligent Agents: Exploring Agent Programs and the Rise of Agent Experience (AX)
Author(s): Suresh D Originally published on Towards AI. Source: Image created by the author using an image generation tool. Introduction Imagine Tara wants to find the best deal on a new coffee machine. Instead of spending hours browsing multiple websites, comparing specifications, …
Rethinking the Necessity of Personal AI Chatbots in Modern Society
Author(s): Veritas AI Originally published on Towards AI. Microsoft CEO Satya Nadella is making a bold bet “AI agents will replace traditional applications and SaaS platforms” Speaking on the B2G podcast In this article, we will explore this vision more deeply of …
Adaptive Decay-Weighted ARMA: A Novel Approach to Time Series Forecasting
Author(s): Shenggang Li Originally published on Towards AI. Integrating Recency-Based Loss Weighting and Seasonal Feature Tuning for Enhanced Predictive AccuracyPhoto by Haberdoedas II on Unsplash Time series forecasting is both fascinating and challenging. It’s fascinating because accurate predictions can directly inform better …
5 Pandas Tricks You Probably Never Heard Of!
Author(s): Gencay I. Originally published on Towards AI. Discover five pandas tricks to enhance Python data analysis for Data Science workflows.Created with GPT 4o “The goal is to turn data into information, and information into insight.” — Carly Fiorina To do that, …
From First Principles: Building Function Calling by Fine-tuning NanoGPT
Author(s): Suyash Harlalka Originally published on Towards AI. Source: Image generated using GPT-4o Turning AI Assistants into Action-Takers Imagine talking to a digital assistant that doesn’t just understand your request, but can actually do something about it. You say, “Book me a …
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