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 …
You’re Just One Article Away from Building Your First ML Model (No Coding Required)
Author(s): Alex Vysotskiy Originally published on Towards AI. Zero to ML Hero: A Beginner’s Guide to Vertex AI for Non-Coders When you hear “Machine Learning,” do you immediately think of complicated algorithms, endless coding, and intimidating data science jargon? Me too — …
What Is Overfitting in Machine Learning?Overfitting in ML Explained Simply with Real Examples | M005
Author(s): Mehul Ligade Originally published on Towards AI. What Is Overfitting in Machine Learning?Overfitting in ML Explained Simply with Real Examples | M005 📍 Abstract If you have ever trained a machine learning model that gave you a perfect-looking score — and …
The Essential Guide to Model Evaluation Metrics for Classification
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Europeana on Unsplash Introduction Classification is one of the most common machine learning tasks, where models predict discrete categories or classes. Examples include detecting fraud, diagnosing diseases, or filtering spam emails. To …
Introduction to RAG: Basics to Mastery. 3-Agentic RAG-Giving Your Retrieval Pipeline a Brain
Author(s): Taha Azizi Originally published on Towards AI. Part 3 of the mini-series introduction to RAG Introduction In the last two articles, we built: A basic RAG Pipeline with semantic search. A Hybrid RAG that combined keyword + semantic search. Now we’re …
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 …
What is Reinforcement Learning? A Deep and Practical Guide to the Most Powerful Idea in AI | M006
Author(s): Mehul Ligade Originally published on Towards AI. What is Reinforcement Learning? A Deep and Practical Guide to the Most Powerful Idea in AI | M006 📍 Abstract Reinforcement Learning is one of those terms that gets thrown around in the world …
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, …
Task Arithmetic for Model Editing
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by charlesdeluvio on Unsplash Introduction In the 2004 film “Eternal Sunshine of the Spotless Mind,” Clementine (played by Kate Winslet) and Joel (played by Jim Carey) visit Lacuna Inc. to undergo a revolutionary …
An Essential Guide for Generative Models Evaluation Metrics
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Europeana on Unsplash Introduction Generative models are everywhere – The most popular being LLMs. However generative tasks span generating realistic photos (eg. GANs, Diffusion models), to creating text (eg. large language models), …
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