Agentic AI — The Third Wave of AI Explained
Author(s): Jennifer Wales Originally published on Towards AI. AI has evolved to a much larger extent. It is no longer limited to providing insights from data or generating new content. The third wave of AI is here, and it is a much …
DeepSeek’s Breakthrough: The Political, Economic, and Technical Earthquake in AI
Author(s): Maxime Jabarian Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source AI is no longer just about technology, it’s about power, politics, and who gets to shape the future. DeepSeek’s breakthrough last …
Unifying Scikit-learn Pipelines and PyTorch Models with ONNX for Deployment
Author(s): Fernando Nieuwveldt Originally published on Towards AI. DALL-E created image I have blogged in the past about a common machine learning design pattern involving feature engineering and preprocessing when working with an scikit-learn pipeline alongside a deep learning framework where your …
Feature Scaling Demystified—Essential Linear Scaling Techniques in Machine Learning!
Author(s): Harshit Dawar Originally published on Towards AI. Let’s understand the most useful linear feature scaling techniques of Machine Learning (ML) in detail! This member-only story is on us. Upgrade to access all of Medium. Source: Image by NIR HIMI on Unsplash …
How to Run DeepSeek Locally: A Step-by-Step Guide
Author(s): MD Rafsun Sheikh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Solen Feyissa on Unsplash Running DeepSeek locally ensures privacy, performance, and flexibility. You are in full control of your …
The DeepSeek Effect — Why Your Company Needs an AI Usage Policy and How to Create One
Author(s): Pawel Rzeszucinski, PhD Originally published on Towards AI. AI Usage Policy acts as a guiding force for safety and compliance in the turbulent digital world [Source: DALL-E] What’s to fear? The rise of accessible, powerful AI tools has been nothing short …
A Practical Approach to Time Series Forecasting with APDTFlow
Author(s): Yotam Braun Originally published on Towards AI. https://github.com/yotambraun/APDTFlow/tree/main Introduction Forecasting time series data is quite different from handling a typical regression or classification task. With sequential dependencies, seasonal effects, and non stationary behavior, these datasets demand a modeling approach that truly …
Important Computer Vision Papers for the Week from 27/01 to 01/02
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research This member-only story is on us. Upgrade to access all of Medium. Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in diffusion …
Beyond Buy-and-Hold: Dynamic Strategies for Unlocking Long-Term Stock Growth
Author(s): Shenggang Li Originally published on Towards AI. Harnessing Survival Analysis and Markov Decision Processes to Surpass Static ETF Performance This member-only story is on us. Upgrade to access all of Medium. Photo by Chris Liverani on Unsplash Have you ever heard …
Matching and Analyzing Products in Marketplaces Using LLMs
Author(s): Igor Novikov Originally published on Towards AI. Image by the author There is a classical problem in any marketplace of making sense of product listings, that is especially exacerbated by users creating a mess of a description of really simple products. …
GenAI for Better NLP Systems III: A Tool That Simplifies Text Annotation
Author(s): Nabanita Roy Originally published on Towards AI. This article explores how prompt engineering & LLMs offer a digital, quick, and better annotation approach over manual ones This member-only story is on us. Upgrade to access all of Medium. Image Source : …
Let's breakdown Reinforcement Learning! — How it connects with the latest LLM reasoning models such as DeepSeek R1
Author(s): Ramendra Singla Originally published on Towards AI. AI Brewing Coffee(Source) Around two years ago, I made the tough decision to drop out of OMSCS Gatech at Georgia Tech, where I was pursuing an M.S. in Computer Science (Machine Learning). The reason? …
NN#2 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Machine Learning Geek In our first article, “From Neurons to Networks: A Conceptual Birth of Artificial Intelligence”, we explored the fundamental …
#61: Are LLMs Entering the Age of Agents?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Reasoning agents seem to have taken over AI in the last couple of weeks. While it is early, this class of reasoning-powered agents is likely to progress LLM …
![Fine-Tuning DeepSeek R1 on Reasoning Task with Unsloth [Part 2]](https://i1.wp.com/miro.medium.com/v2/resize:fit:500/1*xlk4CAk_rf1ClPQdHBH1gw.png?w=1920&resize=1920,1728&ssl=1 "Fine-Tuning DeepSeek R1 on Reasoning Task with Unsloth [Part 2]")
Fine-Tuning DeepSeek R1 on Reasoning Task with Unsloth [Part 2]
Author(s): Youssef Hosni Originally published on Towards AI. Hands-On Fine-Tuning DeepSeek on Medical Reasoning Dataset This member-only story is on us. Upgrade to access all of Medium. DeepSeek company recently released DeepSeek-R1, the next step in their work on reasoning models. It’s …
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