It is 2026, and in the era of Large Language Models (LLMs) surrounding our workflow, prompt engineering is something you must master. Prompt engineering represents the art and science of crafting effective instructions for LLMs to generate desired outputs with precision and reliability. Unlike tradi...
From RGB to Lab: Addressing Color Artifacts in AI Image Compositing
A multi-tier approach to segmentation, color correction, and domain-specific enhancement
The post From RGB to Lab: Addressing Color Artifacts in AI Image Compositing appeared first on Towards Data Science.
The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling
Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling
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The yearly GATE exam is right around the corner. For some this was a long time coming—for others, a last minute priority. Whichever group you belong to, preparation would be the only focus for you now. This article is here to assist with those efforts. A curated list of GATE DA learning material th...
10 Highest Paying Companies in India for Data Science Roles
Among the most valuable roles in the corporate world today, data science enjoys a pole position with just a handful of alternatives that can even match its scale. Record-breaking salaries are being paid to data scientists across the globe for their highly unique skill set, as well as the massive imp...
Let's make sense of the current state of retrieval-augmented generation
The post TDS Newsletter: Is It Time to Revisit RAG? appeared first on Towards Data Science.
When Shapley Values Break: A Guide to Robust Model Explainability
Shapley Values are one of the most common methods for explainability, yet they can be misleading. Discover how to overcome these limitations to achieve better insights.
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Do You Smell That? Hidden Technical Debt in AI Development
Why speed without standards creates fragile AI products
The post Do You Smell That? Hidden Technical Debt in AI Development appeared first on Towards Data Science.
The Beginner’s Guide to Computer Vision with Python
Computer vision is an area of artificial intelligence that gives computer systems the ability to analyze, interpret, and understand visual data, namely images and videos.
AI Agents are being widely adopted across industries, but how many agents are needed for an Agentic AI system? The answer can be 1 or more. What really matters is that we pick the right number of Agents for the task at hand. Here, we will try to look at the cases where we can […]
The post Single-Age...
Why Human-Centered Data Analytics Matters More Than Ever
From optimizing metrics to designing meaning: putting people back into data-driven decisions
The post Why Human-Centered Data Analytics Matters More Than Ever appeared first on Towards Data Science.
How structured knowledge became healthcare’s quiet advantage
The post What Is a Knowledge Graph — and Why It Matters appeared first on Towards Data Science.
A history of Transformer artifacts and the latest research on how to fix them
The post Glitches in the Attention Matrix appeared first on Towards Data Science.
Why Your ML Model Works in Training But Fails in Production
Hard lessons from building production ML systems where data leaks, defaults lie, populations shift, and time does not behave the way we expect.
The post Why Your ML Model Works in Training But Fails in Production appeared first on Towards Data Science.
Prompt engineering isn’t about creating elaborate prompts. It’s about developing the judgment to choose the right structure, logic, and level of control for a given task. This article gives you 40 scenario-based questions and answers that reflect real decisions you make when working with LLMs in pro...