Essential Python Libraries for Data Science: Part 2 — Matplotlib, Seaborn, and Plotly
Author(s): Raj kumar Originally published on Towards AI. How Data Visualization Reveals Patterns, Validates Assumptions, and Builds Trust in Analytical Decisions In Part 1, we built the foundations of the data pipeline. We loaded a real dataset, structured it using Pandas, selected …
AI Evals Are the Unit Tests of LLM Applications
Author(s): KUNJ SHAH Originally published on Towards AI. Imagine your team ships a backend service without a single unit test. No integration tests. No regression tests. No monitoring. Just a late night, a tired engineer, and this: git push origin main Would …
The Junior Developer Pipeline Is Collapsing — And the Industry Won’t Feel the Real Cost Until 2031
Author(s): Rubab Ashfaq Originally published on Towards AI. AI didn’t just make junior developers less necessary. It broke the training system that turns them into senior engineers — and nobody’s built a replacement yet. Erik Brynjolfsson’s team at Stanford’s Digital Economy Lab …
The Summarization TRAP: Why You Should Never Summarize Everything
Author(s): Jiten Bhalavat Originally published on Towards AI. The Summarization TRAP: Why You Should Never Summarize Everything Imagine you’re building a customer support chatbot for an e-commerce company. A customer starts a conversation and says: Customer ID: cus_abc123Order ID: ord_xyz789Refund Amount: $249.50Coupon …
Understanding PyTorch DistributedDataParallel (DDP) From Scratch: Why Every GPU Trains the Entire Model
Author(s): Athira PT Originally published on Towards AI. Understanding PyTorch DistributedDataParallel (DDP) From Scratch: Why Every GPU Trains the Entire Model Why does every GPU need its own copy of the model? How do gradients get averaged without a central master worker? …
We Are Putting Pydantic AI v2 in Three Places. None of Them Is the Orchestrator.
Author(s): Massimiliano Geraci Originally published on Towards AI. We Are Putting Pydantic AI v2 in Three Places. None of Them Is the Orchestrator. A build log written before the merge: typed outputs, multi-run evals, and an approval gate — plus the benchmark …
Text-to-SQL with RAG: Building a Chatbot That Talks to Your Database
Author(s): Katakamvivek Originally published on Towards AI. How to use RAG with structured data — a hands-on POC that converts plain English into safe, verified SQL, with real examples of what breaks and how to fix it. Almost every RAG example you …
The Day I Stopped Babysitting My AI and Started Building Loops
Author(s): Mouez Yazidi Originally published on Towards AI. How Loop Engineering Transformed Me from Prompt engineer to System Architect. It was in March 2026, and I was doing something absurd. I was sitting at my desk, watching Claude Code work, ready to …
The Sonnet 5 Price is Not What You Think It Is
Author(s): allglenn Originally published on Towards AI. Sonnet 5 launched with a promotional rate of $2/$10 per MTok that expires August 31, 2026 The Sonnet 5 Price is Not What You Think It Is Sonnet 5 priceThe article explains that Sonnet 5’s …
Embodied AI Agent Architecture: Build Physical-World AI Without Treating Robots Like Chatbots
Author(s): Anna Jey Originally published on Towards AI. Embodied AI Agent Architecture: Build Physical-World AI Without Treating Robots Like Chatbots Embodied AI Agent Architecture Robots powered by large models need more than prompts. They need perception loops, action contracts, dry runs, safety …
Why Nvidia Locked OpenAI Out of Its Security Alliance
Author(s): MohamedAbdelmenem Originally published on Towards AI. 37 members. No OpenAI. The Hugging Face breach showed why closed APIs fail at cyber-defense. A closed AI model executed an autonomous breach on a third-party cache proxy, and its own safety guardrails refused to …
Closed Source, Open Source Or Open Weights, Which Is Winning The AI Race?
Author(s): Caspar Bannink – AI Engineer Originally published on Towards AI. Closed Source, Open Source Or Open Weights, Which Is Winning The AI Race? The AI race has split into two races. After the introduction, the article argues that “closed models,” “open …
Your AI Agent Keeps Retrying. It’s Costing You $5,000 a Year.
Author(s): Ray Hu Originally published on Towards AI. Your AI Agent Keeps Retrying. It’s Costing You $5,000 a Year. Here’s a moment every team shipping an LLM app eventually hits: a request times out, something retries, and now support is fielding a …
The AI Gold Rush Already Has Too Many Prospectors
Author(s): Muhammad Qasim Originally published on Towards AI. The AI Gold Rush Already Has Too Many Prospectors I got a LinkedIn message last month from someone who, six weeks earlier, had been a marketing coordinator. Now they were an “AI Solutions Architect” …
RAG is Only as Good as its Search: Why AI Search is the Real Differentiator
Author(s): Ramya Ravi Originally published on Towards AI. RAG is Only as Good as its Search: Why AI Search is the Real Differentiator There’s a pattern that plays out in almost every RAG implementation. The team spends weeks evaluating language models, GPT-4 …
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