Building a Data Engineering Study Group in the AI Era: 60-Day Guide.
Author(s): Gift Ojeabulu Originally published on Towards AI. Photo by Small Group Network on Unsplash Outline Introduction. Who is this article for? Why Peer-Led Learning Communities Work? The Foundation Phase. The Structure Phase. The 4-Phase Framework. The Technical Learning Framework. Proven Results …
Evaluating LLM and AI agents Outputs with String Comparison, Criteria & Trajectory Approaches
Author(s): Michalzarnecki Originally published on Towards AI. When your model’s answers sound convincing, how do you prove they’re actually good? This article walks through three complementary evaluation strategies — string comparison, criteria-based scoring, and trajectory analysis. 1. String-Comparison Metrics Consider question below: …
LAI #77: Structured Outputs, LangGraph NLP, Sub-ms Agents, and Personalization at Scale
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue is a mix of applied AI and infrastructure that actually scales. We start with a deep dive into structured output from both local and cloud-based …
How to Convince Your Boss the Smartest AI Investment Is You
Author(s): Towards AI Editorial Team Originally published on Towards AI. Make your case to upskill — and help your company stay ahead. Everyone’s being told to “do something with AI.” Most teams are still waiting for consultants, approvals, or someone who knows …
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 …
Last Chance: Our June AI Cohort Closes in 24 Hours
Author(s): Towards AI Editorial Team Originally published on Towards AI. If you’ve been watching the AI wave from the sidelines, this is your chance to step in with structure, support, and real outcomes (it starts tomorrow, 1st June) Our June cohort brings …
Introducing Our New Course: AI for Business Professionals
Author(s): Towards AI Editorial Team Originally published on Towards AI. The message from leading companies is unmistakable: AI is now an existential competitive challenge. Used effectively, AI significantly enhances productivity and quality. But there’s a catch — when applied poorly or unofficially, …
Beyond Speed: AI Is Unlocking Quality & Innovation. But Most Are Still Not Using AI to its Potential at Work
Author(s): Towards AI Editorial Team Originally published on Towards AI. Here’s How Non-Technical Professionals Can Become True “AI Power Users” — And Why It’s Harder Than It Looks. Generative AI tools like ChatGPT didn’t just arrive; they detonated a new reality for …
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 …
TAI #155: DeepSeek R1’s Reasoning Leap & Unlocking AI’s Untapped Potential at Work
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week marked a strong return for the open-source community, with DeepSeek’s R1–0528 update significantly narrowing the performance gap with state-of-the-art reasoning models. Despite …
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 …
The Anchor That Almost Was
Author(s): Erez Azaria Originally published on Towards AI. Recently, I read Jonathan Zittrain’s article in The Atlantic, describing how his name “breaks” ChatGPT. Being curious, I tried to see if the model could provide some data on the ‘kill switch’ mechanism mentioned …
The Agent Course You Asked For Just Dropped — $99 Early Access
Author(s): Towards AI Editorial Team Originally published on Towards AI. Pay $99 for What Companies Pay $50K to Implement “Agent” has become one of the most overused — and underdefined — terms in AI. Sometimes it means “can call a tool.” Sometimes …
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 …
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