What Is AI Winter? Understanding the Causes Behind the Decline in AI Research
Author(s): Mala Deep Originally published on Towards AI. What Is AI Winter? Understanding the Causes Behind the Decline in AI Research Have you ever thought about why breakthrough technologies sometimes disappear from the headlines for decades, only to come back stronger? In …
The Great Text-to-SQL Illusion: Why We’re Nowhere Near the Finish Line
Author(s): MKWriteshere Originally published on Towards AI. The Great Text-to-SQL Illusion: Why We’re Nowhere Near the Finish Line Despite the hype surrounding AI-powered database querying, enterprise-grade Text-to-SQL remains a complex, unsolved challenge that could make or break your next data initiative. Figure …
Evaluation Metrics For Regression: Must-Know Questions and Answers for Data Science Interviews
Author(s): Ajit Originally published on Towards AI. Evaluation Metrics For Regression: Must-Know Questions and Answers for Data Science Interviews Hey everyone! 👋 I’ve put together a concise and practical guide on regression evaluation metrics, complete with interview questions and answers, many inspired …
Turn Audio into Instant Summaries Using AI — Build This App with Me
Author(s): Prisca Ekhaeyemhe Originally published on Towards AI. A hands-on guide to building your first AI app using Hugging Face and Gradio — no prior experience needed. Have you ever wished you could quickly extract the key takeaways from a podcast, meeting …
🧠 Choosing the Right LLM for Your AI Project: What No One Tells You
Author(s): Prisca Ekhaeyemhe Originally published on Towards AI. Open Source Isn’t Free — It’s Just a Different Kind of Expensive We love to talk about open source like it’s the holy grail; free, flexible, powerful. But what we don’t talk about enough …
Graph-Based NLP with LangGraph and Large Concept Models(LCMs): Sentiment Analysis and Beyond
Author(s): Samvardhan Singh Originally published on Towards AI. Learn how to build a LangGraph pipeline using Large Concept Models (LCMs), Graph Neural Networks (GNNs), and a hybrid symbolic-semantic approach. In today’s data-driven world, enterprises are flooded with unstructured data like customer feedback, …
Linear Methods for Regression: Must-Know Q&A for Interviews
Author(s): Ajit Originally published on Towards AI. Linear Methods for Regression: Must-Know Q&A for Interviews Linear regression is a statistical model that assumes the regression function E(Y|X) is linear or nearly linear. Image by gpt-4oThe article discusses various linear regression techniques, addressing …
Support Vector Machines(SVM): Must-Know Questions and Answers for Data Science Interviews
Author(s): Ajit Originally published on Towards AI. Support Vector Machines(SVM): Must-Know Questions and Answers for Data Science Interviews Hey everyone! 👋 I’ve curated a focused collection of Support Vector Machine (SVM) interview questions and answers — many based on real-world data science …
Hallucination Insurance: When AI Lies, Who Pays the Bill?
Author(s): MKWriteshere Originally published on Towards AI. Why insurers are rushing to cover chatbot hallucinations, and what it means for the future of Retrieval Augmented Generation In the high-stakes theater of corporate AI deployment, a new player has entered from an unexpected …
AgentFly: Fine-Tuning AI Agents Without Fine-Tuning LLMs
Author(s): MKWriteshere Originally published on Towards AI. How memory-based learning achieves 87% accuracy on GAIA benchmarks without costly parameter updates Every attempt to make AI agents smarter hits the same wall: computationally intensive gradient updates that cost millions and risk erasing everything …
Beyond Pandas: The Modern Data Analytics and Engineering Techniques With Python (Part 1)
Author(s): Gift Ojeabulu Originally published on Towards AI. Image by author Outline Introduction The Data Size Decision Framework & Comprehensive Decision Flowchart A Diagrammatic representation based on Team Syntax Preference, and Performance or Integration Requirements Real-World Examples: Log file Analysis, E-commerce instance …
Kernels: A Deep Dive
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Girl with red hat on Unsplash Introduction: What are Kernels A kernel is a smart way to measure similarity between two things — in particular, data points, images, text documents, or more …
Fine-Tuning LLMs in 2025: Techniques, Trade-offs, and Use Cases
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Growtika on Unsplash Fine-tuning large language models (LLMs) has become a fundamental component of AI development in recent years, moving from a specialized technical endeavor. Enhancing model performance is no longer the …
Want to Build with AI But Don’t Know Where to Start? Try Hugging Face
Author(s): Prisca Ekhaeyemhe Originally published on Towards AI. Image edited by author — using DALE If you’ve been curious about artificial intelligence but feel overwhelmed by the jargon, complex math, or massive models, then you’re not alone, and you’re not too late. …
The Essential Guide to ML Evaluation Metrics for Regression
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Europeana on Unsplash Introduction Machine learning models are only as good as our ability to measure them. Though a perfect model isn’t always possible, a good enough model is. But how do …
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