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 …
Why Ethics in AI Matters: Tackling Bias and Building Fair Machine Learning Systems
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Christian Lue on Unsplash After learning that a test AI hiring tool discriminated against resumes that contained the word “women’s,” Amazon quietly discontinued it in 2018. The model had successfully taught itself …
From Pandas to PySpark: My Journey into Big Data Processing
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Joshua Sortino on Unsplash Working with gigabytes or even terabytes of data is no longer a challenge exclusive to computer giants or scientific labs in the era of big data. These days, …
How to Build Bulletproof Data Pipelines with PySpark That Actually Scale
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Claudio Schwarz on Unsplash We’re past the era when a CSV, a Pandas DataFrame, and a single machine could handle everything you threw at them. Data is heavier now. It arrives fast, …
Machine Learning at Scale: Why PySpark MLlib Still Wins in 2025
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Kevin Ku on Unsplash Machine learning may be glamorous when you’re tuning models on Kaggle datasets or demoing GPT wrappers. But in production? It’s a grind. You’re not just building a model. …
Automating Customer Support with AI: How Smart Bots Are Saving Brands (and Our Sanity)
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Petr Macháček on Unsplash “Please hold. Your call is important to us.” Translation: You’ll be humming this jazz loop until you forget why you called. We’ve all been there stuck in support …
Autonomous Horizons: How AI is Steering the Next Generation of Transportation
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Gabriele Malaspina on Unsplash Artificial intelligence (AI) has advanced from a theoretical concept to a revolutionary force in a variety of industries, with the automobile sector at the vanguard. AI is transforming …
The Silent Backbone: Why Traditional Machine Learning Still Matters in the AI Era
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Andrea De Santis on Unsplash In a world increasingly enamored by the shimmering promise of generative AI, it’s easy to forget the models that quietly power much of the technology we rely …
The Rise of Intelligent Enterprises: AI at the Heart of Business Strategy
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Steve Johnson on Unsplash In today’s rapidly evolving digital economy, the difference between a thriving business and one that falls behind often lies in the quality and speed of decision-making. Traditionally, business …
AI-Powered Digital Twins: The Future of Intelligent Systems and Real-World Optimization
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Andy Kelly on Unsplash Imagine a city where traffic congestion is eliminated before it even starts, thanks to an AI-powered Digital Twin that predicts and mitigates bottlenecks in real time. Or consider …
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