Enter Project Gecko: AI in Your Pocket, Without the Premium Price Tag
Author(s): Akhilesh Yadav Originally published on Towards AI. Photo by Fikran Jabbart on Unsplash Project Gecko, as envisioned by Microsoft Research, is a multi-faceted initiative aiming to deliver powerful AI capabilities directly to resource-constrained devices, often offline. Think of it as putting …
Practical Guide to Zero-Shot Object Detection: Detect Unseen Objects Without Retraining
Author(s): Mohsin Khan Originally published on Towards AI. 1. Introduction Picture this: You need to detect a “traffic sign” in an image, but your model has never seen one before. Traditional object detection models would fail here because they rely on training …
Context Engineering: The Hidden Power Behind Smarter AI Systems
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Growtika on Unsplash Large Language Models (LLMs) like GPT-4, Claude, and Gemini have redefined how humans interact with machines. Yet, their intelligence often depends less on their raw power, and more on …
TAI #181: DeepSeek’s V3.2 “Speciale” Delivery Challenges the US Frontier;
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie If the last few weeks were defined by the sheer scale of the US tech giants, with Google’s Gemini 3.0 claiming the throne and …
I Cut 80% of My Workload Using These 6 AI Workflows — And Became the Go-To Expert in My Company
Author(s): Usman Ahmad Originally published on Towards AI. From “why am I drowning?” to “why is my calendar suddenly free?” Three months ago, I was staring at my terminal as it owed me an apology. In this article, the author shares how …
How to Build Your Own Relocation Navigator Agent for Tax, Social Security, and Other Admin Tasks With the Google ADK
Author(s): Laura Verghote Originally published on Towards AI. A relocation agent for cross-border tax, social security & admin navigation Having relocated myself internationally (twice), I’ve experienced firsthand how stressful, fragmented, and confusing cross-border moves can be. Even when you believe you’re well-prepared, …
The Difference Between Generative AI vs Traditional AI
Author(s): Ruben Melkonian Originally published on Towards AI. AI has become one of the defining technologies of the 21st century. It is powering everything: from systems for fraud detection to personalized recommendations on Netflix. However, in the last 3 years, generative AI …
Month in 4 Papers (November 2025)
Author(s): Ala Falaki, PhD Originally published on Towards AI. Month in 4 Papers (November 2025) This series of posts is designed to bring you the newest findings and developments in the NLP field. I’ll delve into four significant research papers each month, …
Beyond Search: How Agentic Multimodal RAG Is Redefining AI Retrieval
Author(s): Sai Kumar Yava Originally published on Towards AI. Agentic Multimodal RAG Why Traditional RAG Falls Short If you’ve worked with Retrieval-Augmented Generation systems, you’ve probably hit their ceiling. Ask a traditional RAG system a straightforward question, and it performs admirably — …
I Spent 7 Days Removing Hallucinations Without Touching the Model
Author(s): Manash Pratim Originally published on Towards AI. I didn’t switch models, fine-tune, or add new data. I just stopped trusting the AI. I didn’t switch models. I didn’t fine-tune. I didn’t add a single row of new training data. I just …
LLM Inference: Data Parallel, Model Parallel, and Pipeline Parallel
Author(s): Tushar Vatsa Originally published on Towards AI. credits : www.veracity.com In the previous post, we explored how KV cache optimization affects inference performance. Using the Phi-2 model as an example, we observed that increasing the sequence length led to a near-linear …
Deep Learning: A Comprehensive Guide
Author(s): Rashmi Originally published on Towards AI. Deep Learning: A Comprehensive Guide Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers (hence “deep”) to learn hierarchical representations of data. Unlike traditional machine learning algorithms that …
How to Identify AI & ML Research Problems Worth Solving
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Julius Carmine on Unsplash In Search of a North Star Formulating a research question is one of the early and most important steps in the research process. It is the one determinant …
Build 7 Production-Ready Agentic AI Projects This Weekend (That Actually Land Jobs) 🚀
Author(s): AbhinayaPinreddy Originally published on Towards AI. Build 7 Production-Ready Agentic AI Projects This Weekend (That Actually Land Jobs) 🚀 Everyone’s talking about autonomous AI agents as if they’re the exclusive domain of research labs and tech giants. They’re not. In 2025, …
All Linear Algebra Concepts You Need For Machine Learning: You’ll Actually Understand
Author(s): Sayan Chowdhury Originally published on Towards AI. Most people hear “linear algebra” and expect a wall of formulas. But in machine learning, you only need a small set of ideas, and every one of them has a real-world interpretation. This article …
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