The 2025 U.S. Data Job Market: A Case Study in AI Disruption and International Talent Strategy
Author(s): Vivek Tiwari Originally published on Towards AI. All images created by author unless otherwise noted Executive Summary The United States data job market in 2025 presents a dynamic landscape of both significant opportunities and considerable challenges, particularly for international graduates seeking …
RLHF: The Engine Tuning Human Values into Large Language Models
Author(s): Saurab Originally published on Towards AI. (Deep Dive into Reinforcement Learning from Human Feedback) We stand in awe of Large Language Models (LLMs) like GPT-4, Gemini, Claude, and Llama. Trained on internet-scale data (> 10^12 tokens), they possess vast knowledge and …
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 …
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 …
Cross Modal AI — Text2X Tasks
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents Text2Image Text2Speech Text2Video Text2Image (TTI) Task / In-Painting / Out-Painting Idea We will do text conditioning on Image2Image Models. As seen in the blog, we can use any generative model i.e. …
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 …
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, …
Important LLM Papers for the Week From 24/03 to 30/03
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 need to stay informed on the …
OpenAI’s Bold Leap into AI Hardware
Author(s): Kalash Vasaniya Originally published on Towards AI. Is it time to take a thrill ride into tech’s future?Source: Thumbnail showcasing AI-powered PDF interaction — created using ChatGPT. If you’re not a member but want to read this article, see this friend …
Natural Language Generation (X2Text) Tasks
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents Image2Text Speech2Text Video2Text Image2Text i.e. Image Captioning Idea Researchers came up with a very innovative idea to solve this problem. They framed this problem as a next word prediction task (with …
Training Less, Achieving More: Unlocking Transformers with LoRA
Author(s): Saif Ali Kheraj Originally published on Towards AI. https://arxiv.org/pdf/2106.09685 In the era of large language models, Transformer is like the original brain of AI. But they come with a catch: Full fine tuning them is like …. Enter LoRA (Low-Rank Adaptation) …
Beyond Simple Inversion: Building and Applying Inverse Neural Networks
Author(s): Shenggang Li Originally published on Towards AI. Theory, training tricks, and real‑world case studies — solving multi‑root equations and beyondPhoto by Marisa Harris on Unsplash Inverse problems ask a fundamental question: Given the output y, what was the input x? Traditional …
JAX: The Hidden Gem of AI Research and High-Performance Computing
Author(s): Harshit Kandoi Originally published on Towards AI. Photo by Christian Wiediger on Unsplash Artificial Intelligence (AI) studies and high-performance computing (HPC) are evolving rapidly, pushing the limits of what`s feasible in deep learning and numerical computation. While TensorFlow and PyTorch have …
Creating a Reasoning Dataset with No Budget.
Author(s): Akhil Theerthala Originally published on Towards AI. Building a dataset. Image generated using Imagen. In the pursuit of understanding reasoning models, the first major roadblock anyone would encounter is finding the right problem to solve. Despite the general understanding of the …
Manus AI — does it live up to the hype?
Author(s): Thomas Reid Originally published on Towards AI. Will it be meh or Magnifico?Image by AI (ChatGPT 4-o) So, some of you may remember that around four weeks ago, there was a significant hype bubble around a new AI tool called Manus. …
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