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Stop guessing your statistical test. Let this AI do it for you.
The post LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions appeared first on Towards Data Science.
OpenAI must stabilize infrastructure, tune personalization, and decide how to moderate immersive interactions.
AI is steadily changing data governance by empowering businesses to stay compliant and agile without getting bogged down by manual tasks.
Tired of spending hours on repetitive data tasks? These Python scripts can come in handy for the overworked data scientist looking to simplify daily workflows.
The propensity for AI systems to make mistakes and for humans to miss those mistakes has been on full display in the US legal system as of late. The follies began when lawyers—including some at prestigious firms—submitted documents citing cases that didn’t exist. Similar mistakes soon spread to other roles in the courts. In December,…
The Cleveland Clinic and startup Piramidal are developing an AI model trained on brain wave data to monitor intensive care patients.
Explore 10 agentic AI terms and concepts that are key to understanding the latest AI paradigm everyone wants to talk about — but not everyone clearly understands.
Last month, I spoke with Matthew Prince, cofounder and CEO of Cloudflare, as part of my ongoing series of public conversations, Live with Tim O’Reilly. Cloudflare made waves with its July 1 announcement that it will block AI crawlers by default and give content owners the ability to decide who can use their material for […]
One of the most widespread machine learning techniques is XGBoost (Extreme Gradient Boosting).
Introducing a four-hour video workshop on agentic AI engineering from Jon Krohn and Edward Donner.
The following is Part 1 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Context Engineering Tips: To get the best results from an AI, you need to provide clear and specific context. The quality of the AI’s output directly depends on the quality of your input. How to improve […]
Palantir is often called a data broker, a data miner, or a giant database of personal information. In reality, it’s none of these—but even former employees struggle to explain it.
AI’s best case, OpenAI bonuses, bad news for Anthropic, campus clashes, and more...
The challenge is not just to build better AI tools, but to ask harder questions about where they are taking us.
Legacy models return, AI war games, Altman’s daily habit, lip sync AI, and more...
Using structured protocols such as MCP and AI-driven analyses results in proactive rather than reactive systems.
The key to successful ML projects isn't always more resources
The post How to Design Machine Learning Experiments — the Right Way appeared first on Towards Data Science.
AMA fallout, 4o sticks around, AI space medic, prompt-to-song, new chat, more...
Learn how to write informative technical articles
The post How to Write Insightful Technical Articles appeared first on Towards Data Science.
Anthropic faces risks as $5B run rate leans on Cursor and GitHub Copilot as OpenAI’s cheaper GPT‑5 undercuts Claude, spotlighting customer concentration risks and enterprise AI cost pressure.
Truth Search AI appears to rely heavily on conservative outlet Fox News to answer even the most basic questions.
The pressure is on for OpenAI to prove that GPT-5 isn’t just an incremental update, but a true step forward.
In this episode of Uncanny Valley, we're talking about why some chatbot subscriptions are so expensive and how these premium prices were determined on vibes more than anything substantial.
An overview of popular techniques to confine LLMs' output to a predefined schema
The post Generating Structured Outputs from LLMs appeared first on Towards Data Science.
Mathematical intuition and practical considerations for NLP scenarios
The post Demystifying Cosine Similarity appeared first on Towards Data Science.
It also failed on a simple algebra arithmetic problem that elementary schoolers could probably nail, 5.9 = x + 5.11.
The foundational instructions that govern the operation and user/model interaction of language models (also known as system prompts) are able to offer insights into how we — as users, AI practitioners, and developers — can optimize our interactions, approach future model advancements, and develop useful language model-driven applications.
Generate strategic feature engineering recommendations using AI-powered workflows in n8n.
Beginning this week, you'll see us testing a new Google Finance, reimagined with AI at its core. Here’s what to expect:Research your finance questions with AI: Now, you …
OpenAI has announced GPT-5 will replace all models on ChatGPT. Many users are mourning the workhorse model.