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Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.
Incredible AI videos, OpenAI's device, Operator + o3, remember everything, and more...
Mathematical theorem and credit transaction prediction using Stochastic / Batch GD
The post Prototyping Gradient Descent in Machine Learning appeared first on Towards Data Science.
Using one model to personalize ML results
The post Estimating Product-Level Price Elasticities Using Hierarchical Bayesian appeared first on Towards Data Science.
Operator remains a research preview and is accessible only to ChatGPT Pro users. The Responses API version will continue to use GPT-4o.
Microsoft's NLWeb protocol transforms websites into AI-powered apps with conversational interfaces.
Enterprises looking to build with AI should find plenty to look forward to with the announcements from Microsoft, Google & Anthropic this week.
A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to start building
The post New to LLMs? Start Here appeared first on Towards Data Science.
Improve static analysis and run-time validation with full generic specification
The post Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype appeared first on Towards Data Science.
Anthropic CEO Dario Amodei said everything human workers do now will eventually be done by AI systems.
Today on Uncanny Valley, we address one of the most pressing questions in education right now: What constitutes cheating at school in today’s world of AI?
In this post, we explore how Principal used this opportunity to build an integrated voice VA reporting and analytics solution using an Amazon QuickSight dashboard.
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. Subscribe today! All the hard work it takes to integrate large language models and powerful algorithms into your workflows can go to waste if the outputs you see don’t live up to expectations. […]
The post How to Evaluate LLMs and Algorithms — The Right Way appeared first on Towards Data Science.
Design, test, and deploy multi-agent systems in hours using the powerful agentic frameworks.
Google's "sufficient context" helps refine RAG systems, reduce LLM hallucinations, and boost AI reliability for business applications.
The shift from native LLMs (2018) to LLM agents (2025) has enabled AI to move beyond static knowledge, integrating retrieval, reasoning, and real-world interaction for autonomous problem-solving.
In the US state's coal country, crypto mining was supposed to bring renewal. Now mines are powering down, and investors are hoping AI-powered data centers will fill the void.
FBI scam alert, Opus 4 + Sonnet 4, OpenAI spies, private AI, Apple glasses, and more...
Implementation of multiple linear regression on real data: Assumption checks, model evaluation, and interpretation of results using Python.
The post Multiple Linear Regression Analysis appeared first on Towards Data Science.
A new benchmark can test how much LLMs become sycophants, and found that GPT-4o was the most sycophantic of the models tested.
The fire department said a room with batteries contributed to the blaze at a building leased by Elon Musk’s X near Portland, Oregon.
Introduction AlphaEvolve [1] is a promising new coding agent by Google’s DeepMind. Let’s look at what it is and why it is generating hype. Much of the Google paper is on the claim that AlphaEvolve is facilitating novel research through its ability to improve code until it solves a problem in a really good way. […]
The post Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents appeared first on Towards Data Science.
Coding concepts that distinguish an amateur from a professional data scientist
The post Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed appeared first on Towards Data Science.
Bowman later edited his tweet and the following one in a thread to read as follows, but it still didn't convince the naysayers.
Bowman later edited his tweet and the following one in a thread to read as follows, but it still didn't convince the naysayers.
At this week’s I/O, we announced our very latest products, tools and research designed to make AI even more helpful with Gemini. The latest episode of the Google AI: Rel…
A new analysis of AI hardware being produced and how it is being used attempts to estimate the vast amount of electricity being consumed by AI.
As standard PowerCenter support winds down, the path forward requires careful consideration of your organization's specific needs and constraints.
As Donald Trump pens deals in the Middle East, the gulf nation opens a research lab in San Francisco.
DOGE tested and used Meta’s Llama 2 model to review and classify responses from federal workers to the infamous “Fork in the Road” email.