A Production Engineer’s Guide to Shipping LLMs That Work
Author(s): MKWriteshere Originally published on Towards AI. Why experienced developers delete frameworks, avoid fine-tuning, and ship faster using surprisingly simple principles Building with LLMs feels like navigating a minefield of overhyped frameworks and premature optimization. Image Source : framerusercontent.comThis article delves into …
Reinforcement Pre-Training: Teaching AI to Think Instead of Memorize
Author(s): MKWriteshere Originally published on Towards AI. Microsoft’s reasoning-first approach transforms how AI learns, making smaller models more capable than larger ones Microsoft Research has introduced Reinforcement Pre-Training (RPT), a method that transforms how language models learn. Figure 1 from Research paperThe …
How Qwen3 Embedding Beat Google at Its Own RAG Game
Author(s): MKWriteshere Originally published on Towards AI. Inside Qwen3’s Secret Recipe for State-of-Art Text Embeddings Just as DNA sequencing revolutionized biology by revealing the genetic code that connects all life, Qwen3 Embedding revolutionizes artificial intelligence by decoding the genetic structure of meaning …
Building with LLMs? Don’t Ship Without This Evaluation Guide
Author(s): Claudia Ng Originally published on Towards AI. What the GPT-4o rollback tells us about building smarter AI tools On April 28th, OpenAI quietly rolled back a ChatGPT update just three days after release. Users reported that the new update made GPT-4o …
Using Reinforcement Learning to Solve Business Problems
Author(s): Shenggang Li Originally published on Towards AI. Exploring RL Concepts and Applications Through a Customer Engagement Example As a data scientist in any industry, if you’ve spent your career building supervised learning models — predicting customer churn, segmenting users, or forecasting …
We’re Back to Square One: Why AI is Forcing Us to Reinvent Programming Languages (Again)
Author(s): MKWriteshere Originally published on Towards AI. How artificial intelligence brought us full circle to the same problems that created programming languages in the first place Imagine you’re trying to give directions to someone who speaks your language perfectly but has never …
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 …
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