Category: artificial-intelligence
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YouTube Plans AI Expansion in 2026 While Promising Crackdown on ‘AI Slop’
YouTube Plans AI Expansion in 2026 While Promising Crackdown on ‘AI Slop’ The platform says it will expand AI creation tools for creators while tightening enforcement against low-quality AI-generated videos. Jason Nelson Go to decrypt.co
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Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors
Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weird delimiters. The post Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors appeared first on Towards Data Science. Benjamin Nweke Go to original source
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STAT+: OpenEvidence raises $250 million, doubling its valuation
STAT+: OpenEvidence raises $250 million, doubling its valuation OpenEvidence, maker of a popular chatbot that helps doctors search clinical evidence, on Wednesday announced $250 million in new funding. The new round led by Thrive Capital and DST Global values OpenEvidence at $12 billion, and the company has announced $735 million in funding in the last…
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STAT+: Slingshot pulls therapy chatbot Ash out of U.K. over regulatory concerns
STAT+: Slingshot pulls therapy chatbot Ash out of U.K. over regulatory concerns Slingshot AI will withdraw its therapy chatbot app Ash from the United Kingdom this week over concerns that it runs afoul of the country’s medical device regulations. Slingshot CEO Daniel Reid Cahn wrote in an email to users that “there isn’t a clear…
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STAT+: Former Humana CEO Bruce Broussard on WISeR, AI, and transparency
STAT+: Former Humana CEO Bruce Broussard on WISeR, AI, and transparency You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday. Are you, like me, fascinated with the superhuman abilities of a professional Geoguessr player…
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Google Funds AI Training for Artists as Hollywood Debates the Tech’s Role
Google Funds AI Training for Artists as Hollywood Debates the Tech’s Role The funding comes as artists and technologists press for clearer rules around how AI is trained and used across the entertainment industry. Vismaya V Go to decrypt.co
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OpenAI Deploys Age Prediction to Restrict Teen Access on ChatGPT
OpenAI Deploys Age Prediction to Restrict Teen Access on ChatGPT OpenAI now uses behavioral signals to identify accounts likely belonging to minors and automatically apply content limits, while experts warn of errors and bias. Jason Nelson Go to decrypt.co
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You Probably Don’t Need a Vector Database for Your RAG — Yet
You Probably Don’t Need a Vector Database for Your RAG — Yet Numpy or SciKit-Learn might meet all your retrieval needs The post You Probably Don’t Need a Vector Database for Your RAG — Yet appeared first on Towards Data Science. Thomas Reid Go to original source
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ChatGPT Is Getting Ads—Here’s What to Expect
ChatGPT Is Getting Ads—Here’s What to Expect Sam Altman once called ads in AI “uniquely unsettling.” Now OpenAI is testing them as it hemorrhages cash and loses market share to Google. Jose Antonio Lanz Go to decrypt.co
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UK Parliamentary Panel Flags AI Oversight Gaps Could Expose Financial System to Harm
UK Parliamentary Panel Flags AI Oversight Gaps Could Expose Financial System to Harm A parliamentary committee said regulators are struggling to keep pace as AI spreads across banks and insurers, urging clearer guidance. Vince Dioquino Go to decrypt.co
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Using Local LLMs to Discover High-Performance Algorithms
Using Local LLMs to Discover High-Performance Algorithms How I used open-source models to explore new frontiers in efficient code generation, using my MacBook and local LLMs. The post Using Local LLMs to Discover High-Performance Algorithms appeared first on Towards Data Science. Stefano Bosisio Go to original source
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STAT+: Former AMA president says the U.S. health care system will implode without an overhaul
STAT+: Former AMA president says the U.S. health care system will implode without an overhaul When artificial intelligence medical imaging company Aidoc asked Jesse Ehrenfeld to be the company’s new chief medical officer, he said no. At 47, Ehrenfeld has already had a distinguished career: He was a commander in the U.S. Navy Medical Corps…
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The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation. The post The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies appeared first on Towards Data Science. Samir Saci…
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Why Healthcare Leads in Knowledge Graphs
Why Healthcare Leads in Knowledge Graphs How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure The post Why Healthcare Leads in Knowledge Graphs appeared first on Towards Data Science. Steve Hedden Go to original source
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AI Utopianism Masks Tech Billionaires’ Fear: Douglas Rushkoff
AI Utopianism Masks Tech Billionaires’ Fear: Douglas Rushkoff Economists and technologists say AI hype obscures displacement, infrastructure costs, and uneven gains. Jason Nelson Go to decrypt.co
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Data Poisoning in Machine Learning: Why and How People Manipulate Training Data
Data Poisoning in Machine Learning: Why and How People Manipulate Training Data Do you know where your data has been? The post Data Poisoning in Machine Learning: Why and How People Manipulate Training Data appeared first on Towards Data Science. Stephanie Kirmer Go to original source
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A Geometric Method to Spot Hallucinations Without an LLM Judge
A Geometric Method to Spot Hallucinations Without an LLM Judge Imagine a flock of birds in flight. There’s no leader. No central command. Each bird aligns with its neighbors—matching direction, adjusting speed, maintaining coherence through purely local coordination. The result is global order emerging from local consistency. Now imagine one bird flying with the same…
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From RGB to Lab: Addressing Color Artifacts in AI Image Compositing
From RGB to Lab: Addressing Color Artifacts in AI Image Compositing A multi-tier approach to segmentation, color correction, and domain-specific enhancement The post From RGB to Lab: Addressing Color Artifacts in AI Image Compositing appeared first on Towards Data Science. Eric Chung Go to original source
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The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling
The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling The post The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling appeared first on Towards Data Science. Hugo Lu Go to original source
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Viral ‘Stranger Things’ AI Videos Raise New Concerns Over Deepfakes
Viral ‘Stranger Things’ AI Videos Raise New Concerns Over Deepfakes Excerpts warn how the demos using Kling’s Motion Control AI spotlight new risks as full-body identity swaps flood social media. Jason Nelson Go to decrypt.co
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When Shapley Values Break: A Guide to Robust Model Explainability
When Shapley Values Break: A Guide to Robust Model Explainability Shapley Values are one of the most common methods for explainability, yet they can be misleading. Discover how to overcome these limitations to achieve better insights. The post When Shapley Values Break: A Guide to Robust Model Explainability appeared first on Towards Data Science. Alon…
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Do You Smell That? Hidden Technical Debt in AI Development
Do You Smell That? Hidden Technical Debt in AI Development Why speed without standards creates fragile AI products The post Do You Smell That? Hidden Technical Debt in AI Development appeared first on Towards Data Science. Erika Gomes-Gonçalves Go to original source
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Robinhood CEO Says AI Could Spark a ‘Job Singularity’
Robinhood CEO Says AI Could Spark a ‘Job Singularity’ Vlad Tenev argues AI will fuel a surge of new jobs, solo companies, and industries, not just cause displacement. Jason Nelson Go to decrypt.co
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X Tightens Grok Image Generation Following International Backlash
X Tightens Grok Image Generation Following International Backlash X says it has limited Grok image tools to paid users and has added safeguards after misuse prompted growing regulatory scrutiny. Jason Nelson Go to decrypt.co
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Glitches in the Attention Matrix
Glitches in the Attention Matrix A history of Transformer artifacts and the latest research on how to fix them The post Glitches in the Attention Matrix appeared first on Towards Data Science. Jonathan Williford Go to original source
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STAT+: Secretive Project Prometheus takes VC Bob Nelsen beyond just health care
STAT+: Secretive Project Prometheus takes VC Bob Nelsen beyond just health care SAN FRANCISCO — Venture capitalist Bob Nelsen believes his latest project will be “one of the most important companies in the world.” But, unusually for the longtime biotech investor, it’s not strictly in health care. Nelsen has been quietly working on a new…
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Political Theorist Says He ‘Red Pilled’ Anthropic’s Claude, Exposing Prompt Bias Risks
Political Theorist Says He ‘Red Pilled’ Anthropic’s Claude, Exposing Prompt Bias Risks The ‘Dark Enlightenment’ pundit published a transcript he says shows how easily a chatbot can be steered into echoing a user’s ideology. Josh Quittner Go to decrypt.co
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‘Warhammer 40,000’ Maker Games Workshop Rules Out Generative AI
‘Warhammer 40,000’ Maker Games Workshop Rules Out Generative AI U.K. tabletop gaming company Games Workshop says AI-generated content will not be used in Warhammer design or creative processes. Jason Nelson Go to decrypt.co
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An introduction to AWS Bedrock
An introduction to AWS Bedrock The how, why, what and where of Amazon’s LLM access layer The post An introduction to AWS Bedrock appeared first on Towards Data Science. Thomas Reid Go to original source
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Why Your ML Model Works in Training But Fails in Production
Why Your ML Model Works in Training But Fails in Production Hard lessons from building production ML systems where data leaks, defaults lie, populations shift, and time does not behave the way we expect. The post Why Your ML Model Works in Training But Fails in Production appeared first on Towards Data Science. Sudheer Singamsetty…
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Opinion: 46% of U.S. counties don’t have a cardiologist. ARPA-H’s new agentic AI program could bring them specialized care
Opinion: 46% of U.S. counties don’t have a cardiologist. ARPA-H’s new agentic AI program could bring them specialized care When my 14-year journey to train as a heart failure cardiologist finally concluded, I naturally assumed the hardest time was behind me. But in my first job I found myself working as the only cardiologist in…
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How AI Can Become Your Personal Language Tutor
How AI Can Become Your Personal Language Tutor How I used n8n to build AI study partners for learning Mandarin: vocabulary, listening, and pronunciation correction. The post How AI Can Become Your Personal Language Tutor appeared first on Towards Data Science. Samir Saci Go to original source
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When Does Adding Fancy RAG Features Work?
When Does Adding Fancy RAG Features Work? Looking at the performance of different pipelines The post When Does Adding Fancy RAG Features Work? appeared first on Towards Data Science. Ida Silfverskiöld Go to original source
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Optimizing Data Transfer in Batched AI/ML Inference Workloads
Optimizing Data Transfer in Batched AI/ML Inference Workloads A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems – part 2 The post Optimizing Data Transfer in Batched AI/ML Inference Workloads appeared first on Towards Data Science. Chaim Rand Go to original source
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STAT+: At JPM, doctors’ darling OpenEvidence says it’s pursuing ‘medical super-intelligence’
STAT+: At JPM, doctors’ darling OpenEvidence says it’s pursuing ‘medical super-intelligence’ OpenEvidence has rapidly become a household name among physicians, with a chatbot that answers their day-to-day clinical questions. Last year, it raised $200 million — twice — valuing the company at more than $6 billion. Its next reported round, yet to be confirmed, would…
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Federated Learning, Part 1: The Basics of Training Models Where the Data Lives
Federated Learning, Part 1: The Basics of Training Models Where the Data Lives Understanding the foundations of federated learning The post Federated Learning, Part 1: The Basics of Training Models Where the Data Lives appeared first on Towards Data Science. Parul Pandey Go to original source
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‘Baldur’s Gate 3’ Game Studio Says ‘Divinity’ Won’t Include AI-Generated Art
‘Baldur’s Gate 3’ Game Studio Says ‘Divinity’ Won’t Include AI-Generated Art Larian Studios head Swen Vincke said the upcoming RPG Divinity will not use generative AI art, though the studio still sees benefits to the tech. Jason Nelson Go to decrypt.co
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Insiders Say DeepSeek V4 Will Beat Claude and ChatGPT at Coding, Launch Within Weeks
Insiders Say DeepSeek V4 Will Beat Claude and ChatGPT at Coding, Launch Within Weeks DeepSeek’s upcoming V4 model could outperform Claude and ChatGPT in coding tasks, according to insiders—with its purported release nearing. Jose Antonio Lanz Go to decrypt.co
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How LLMs Handle Infinite Context With Finite Memory
How LLMs Handle Infinite Context With Finite Memory Achieving infinite context with 114× less memory The post How LLMs Handle Infinite Context With Finite Memory appeared first on Towards Data Science. Moulik Gupta Go to original source
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Beyond Prompting: The Power of Context Engineering
Beyond Prompting: The Power of Context Engineering Using ACE to create self-improving LLM workflows and structured playbooks The post Beyond Prompting: The Power of Context Engineering appeared first on Towards Data Science. Mariya Mansurova Go to original source
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OpenAI’s ChatGPT Health Push Raises Questions About Data Security
OpenAI’s ChatGPT Health Push Raises Questions About Data Security The new feature lets users link medical records, while OpenAI emphasized encryption, data separation, and limits on health advice. Jason Nelson Go to decrypt.co
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I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found
I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found Why privacy breaks fairness at small scale—and how collaboration fixes both without sharing a single record The post I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found appeared first on Towards Data Science. Arjun Kaarat Go…
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Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options
Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options Human-guided AI collaboration The post Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options appeared first on Towards Data Science. alan nekhom Go to original source
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STAT+: AI Prognosis readers’ predictions for health AI in 2026. What’s on your bingo card?
STAT+: AI Prognosis readers’ predictions for health AI in 2026. What’s on your bingo card? You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday. Hope you had a great holiday season. I’m starting off…
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Measuring What Matters with NeMo Agent Toolkit
Measuring What Matters with NeMo Agent Toolkit A practical guide to observability, evaluations, and model comparisons The post Measuring What Matters with NeMo Agent Toolkit appeared first on Towards Data Science. Mariya Mansurova Go to original source
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GliNER2: Extracting Structured Information from Text
GliNER2: Extracting Structured Information from Text From unstructured text to structured Knowledge Graphs The post GliNER2: Extracting Structured Information from Text appeared first on Towards Data Science. Tomaz Bratanic Go to original source
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STAT+: FDA announces sweeping changes to oversight of wearables, AI-enabled devices
STAT+: FDA announces sweeping changes to oversight of wearables, AI-enabled devices LAS VEGAS — The Food and Drug Administration announced Tuesday that it will ease regulation of digital health products, following through on the Trump administration’s promises to deregulate artificial intelligence and promote its widespread use. FDA Commissioner Marty Makary indicated that one of the…
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Elon Musk’s xAI Refuses to Rein In Grok as Non-Consensual Deepfakes Run Wild
Elon Musk’s xAI Refuses to Rein In Grok as Non-Consensual Deepfakes Run Wild Users are getting Grok to generate non-consensual images of women. Elon Musk’s AI platform says this is just another form of free speech. Jose Antonio Lanz Go to decrypt.co
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Amazon Launches New Chatbot-Style Interface for Alexa
Amazon Launches New Chatbot-Style Interface for Alexa The company has rolled out Alexa.com in early access, extending Alexa+ to browsers with smart-home controls, text, and image generation. Jason Nelson Go to decrypt.co
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Feature Detection, Part 3: Harris Corner Detection
Feature Detection, Part 3: Harris Corner Detection Finding the most informative points in images The post Feature Detection, Part 3: Harris Corner Detection appeared first on Towards Data Science. Vyacheslav Efimov Go to original source
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YOLOv1 Loss Function Walkthrough: Regression for All
YOLOv1 Loss Function Walkthrough: Regression for All An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions The post YOLOv1 Loss Function Walkthrough: Regression for All appeared first on Towards Data Science. Muhammad Ardi Go to original source
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Optimizing Data Transfer in AI/ML Workloads
Optimizing Data Transfer in AI/ML Workloads A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems The post Optimizing Data Transfer in AI/ML Workloads appeared first on Towards Data Science. Chaim Rand Go to original source
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How to Keep MCPs Useful in Agentic Pipelines
How to Keep MCPs Useful in Agentic Pipelines Check the tools your LLM uses before replacing it with just a more powerful model The post How to Keep MCPs Useful in Agentic Pipelines appeared first on Towards Data Science. Roman S Go to original source
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STAT+: Who will pay for AI in health care? 3 trends to watch in 2026
STAT+: Who will pay for AI in health care? 3 trends to watch in 2026 The health care industry is gearing up for a battle over whether and how clinical artificial intelligence should get paid for. As of the end of September, the Food and Drug Administration has authorized 1,357 AI-enabled medical devices. But very…
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Deep Reinforcement Learning: The Actor-Critic Method
Deep Reinforcement Learning: The Actor-Critic Method Robot friends collaborate to learn to fly a drone The post Deep Reinforcement Learning: The Actor-Critic Method appeared first on Towards Data Science. Vedant Jumle Go to original source
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Emerge’s Top 10 WTF AI Moments of 2025
Emerge’s Top 10 WTF AI Moments of 2025 From Grok’s “MechaHitler” meltdown to North Korea’s “vibe-hacking” ransomware, 2025 was the year AI stopped pretending to be smart and started acting unhinged. Jose Antonio Lanz Go to decrypt.co
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Production-Ready LLMs Made Simple with the NeMo Agent Toolkit
Production-Ready LLMs Made Simple with the NeMo Agent Toolkit From simple chat to multi-agent reasoning and real-time REST APIs The post Production-Ready LLMs Made Simple with the NeMo Agent Toolkit appeared first on Towards Data Science. Mariya Mansurova Go to original source
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Chunk Size as an Experimental Variable in RAG Systems
Chunk Size as an Experimental Variable in RAG Systems Understanding retrieval in RAG systems by experimenting with different chunk sizes The post Chunk Size as an Experimental Variable in RAG Systems appeared first on Towards Data Science. Sarah Schürch Go to original source
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The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel
The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not change the destination, only the path. Each method adds a mechanism that fixes a limitation of the previous one, making the movement faster, more stable, or more adaptive.…
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Opinion: Patients are consulting AI. Doctors should, too
Opinion: Patients are consulting AI. Doctors should, too Ask most physicians today, and they’ll describe some version of this scene: In the middle of an appointment, a patient says, “I asked ChatGPT about the treatment you recommended.” A few years ago, doctors might have bristled. Today, this is the new reality. And yet, it’s exactly…
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Machine Learning vs AI Engineer: What Are the Differences?
Machine Learning vs AI Engineer: What Are the Differences? One of the most confusing questions in tech right now is: What is the difference between an AI engineer and a machine learning engineer? Both are six-figure jobs, but if you choose the wrong one, you could waste months of your career learning the wrong skills…
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Implementing Vibe Proving with Reinforcement Learning
Implementing Vibe Proving with Reinforcement Learning How to make LLMs reason with verifiable, step-by-step logic (Part 2) The post Implementing Vibe Proving with Reinforcement Learning appeared first on Towards Data Science. Jacopo Tagliabue Go to original source
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Breaking the Hardware Barrier: Software FP8 for Older GPUs
Breaking the Hardware Barrier: Software FP8 for Older GPUs Deep learning workloads are increasingly memory-bound, with GPU cores sitting idle while waiting for data transfers. FP8 precision solves this on newer hardware, but what about the millions of RTX 30 and 20 series GPUs already deployed? Feather demonstrates that software-based FP8 emulation through bitwise packing…
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Hugging Face Transformers in Action: Learning How To Leverage AI for NLP
Hugging Face Transformers in Action: Learning How To Leverage AI for NLP A practical guide to Hugging Face Transformers and to how you can analyze your resumé sentiment in seconds with AI The post Hugging Face Transformers in Action: Learning How To Leverage AI for NLP appeared first on Towards Data Science. Gustavo Santos Go…
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Exploring TabPFN: A Foundation Model Built for Tabular Data
Exploring TabPFN: A Foundation Model Built for Tabular Data Understanding the architecture, training pipeline and implementing TabPFN in practice The post Exploring TabPFN: A Foundation Model Built for Tabular Data appeared first on Towards Data Science. Parul Pandey Go to original source
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How IntelliNode Automates Complex Workflows with Vibe Agents
How IntelliNode Automates Complex Workflows with Vibe Agents Many AI systems focus on isolated tasks or simple prompt engineering. This approach allowed us to build interesting applications from a single prompt, but we are starting to hit a limit. Simple prompting falls short when we tackle complex AI tasks that require multiple stages or enterprise…
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The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel
The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel An intuitive, step-by-step look at how Transformers use self-attention to turn static word embeddings into contextual representations, illustrated with simple examples and an Excel-friendly walkthrough. The post The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel appeared first on Towards…
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The Machine Learning “Advent Calendar” Day 23: CNN in Excel
The Machine Learning “Advent Calendar” Day 23: CNN in Excel A step-by-step 1D CNN for text, built in Excel, where every filter, weight, and decision is fully visible. The post The Machine Learning “Advent Calendar” Day 23: CNN in Excel appeared first on Towards Data Science. angela shi Go to original source
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How Agents Plan Tasks with To-Do Lists
How Agents Plan Tasks with To-Do Lists Understanding the process behind agentic planning and task management in LangChain The post How Agents Plan Tasks with To-Do Lists appeared first on Towards Data Science. Kenneth Leung Go to original source
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STAT+: Rolling back health AI transparency rule will shift the burden of vetting to health systems
STAT+: Rolling back health AI transparency rule will shift the burden of vetting to health systems A Trump administration proposal to deregulate artificial intelligence products used in health care would shift the burden of vetting those tools onto health systems that would have to work harder to prove the technology is trustworthy, experts said. In…
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The Machine Learning “Advent Calendar” Day 21: Gradient Boosted Decision Tree Regressor in Excel
The Machine Learning “Advent Calendar” Day 21: Gradient Boosted Decision Tree Regressor in Excel Gradient descent in function space with decision trees The post The Machine Learning “Advent Calendar” Day 21: Gradient Boosted Decision Tree Regressor in Excel appeared first on Towards Data Science. angela shi Go to original source
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The Machine Learning “Advent Calendar” Day 20: Gradient Boosted Linear Regression in Excel
The Machine Learning “Advent Calendar” Day 20: Gradient Boosted Linear Regression in Excel From Random Ensembles to Optimization: Gradient Boosting Explained The post The Machine Learning “Advent Calendar” Day 20: Gradient Boosted Linear Regression in Excel appeared first on Towards Data Science. angela shi Go to original source
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ChatLLM Presents a Streamlined Solution to Addressing the Real Bottleneck in AI
ChatLLM Presents a Streamlined Solution to Addressing the Real Bottleneck in AI For the last couple of years, a lot of the conversation around AI has revolved around a single, deceptively simple question: Which model is the best? But the next question was always, the best for what? The best for reasoning? Writing? Coding? Or…
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The Geometry of Laziness: What Angles Reveal About AI Hallucinations
The Geometry of Laziness: What Angles Reveal About AI Hallucinations A story about failing forward, spheres you can’t visualize, and why sometimes the math knows things before we do The post The Geometry of Laziness: What Angles Reveal About AI Hallucinations appeared first on Towards Data Science. Javier Marin Go to original source
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Tools for Your LLM: a Deep Dive into MCP
Tools for Your LLM: a Deep Dive into MCP MCP is a key enabler into turning your LLM into an agent by providing it with tools to retrieve real-time information or perform actions. In this deep dive we cover how MCP works, when to use it, and what to watch out for. The post Tools…
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OpenAI, Microsoft Sued Over ChatGPT’s Alleged Role in Connecticut Murder-Suicide
OpenAI, Microsoft Sued Over ChatGPT’s Alleged Role in Connecticut Murder-Suicide The lawsuit alleges that OpenAI’s ChatGPT reinforced delusions that preceded a fatal attack on a user’s mother. Jason Nelson Go to decrypt.co
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Understanding the Generative AI User
Understanding the Generative AI User What do regular technology users think (and know) about AI? The post Understanding the Generative AI User appeared first on Towards Data Science. Stephanie Kirmer Go to original source
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The Machine Learning “Advent Calendar” Day 19: Bagging in Excel
The Machine Learning “Advent Calendar” Day 19: Bagging in Excel Understanding ensemble learning from first principles in Excel The post The Machine Learning “Advent Calendar” Day 19: Bagging in Excel appeared first on Towards Data Science. angela shi Go to original source
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2025 Must-Reads: Agents, Python, LLMs, and More
2025 Must-Reads: Agents, Python, LLMs, and More Don’t miss our most popular articles of the past year! The post 2025 Must-Reads: Agents, Python, LLMs, and More appeared first on Towards Data Science. TDS Editors Go to original source
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The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel
The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel Understanding forward propagation and backpropagation through explicit formulas The post The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel appeared first on Towards Data Science. angela shi Go to original source
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4 Ways to Supercharge Your Data Science Workflow with Google AI Studio
4 Ways to Supercharge Your Data Science Workflow with Google AI Studio With concrete examples of using AI Studio Build mode to learn faster, prototype smarter, communicate clearer, and automate quicker. The post 4 Ways to Supercharge Your Data Science Workflow with Google AI Studio appeared first on Towards Data Science. Shuai Guo Go to…
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The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel
The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel Neural networks often feel like black boxes. In this article, we build a neural network regressor from scratch using only Excel formulas. By making every step explicit, from forward propagation to backpropagation, we show how a neural network learns to approximate non-linear functions…
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Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach
Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems The post Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach appeared first on Towards Data Science. Partha Sarkar Go to original source
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Actors, Creators Launch Coalition to Push AI Rules Amid Ongoing Legal Battles
Actors, Creators Launch Coalition to Push AI Rules Amid Ongoing Legal Battles Artists, technologists and other creators formed a new group seeking standards for how AI is trained and used. Jason Nelson Go to decrypt.co
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The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel
The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density Estimation, we build Kernel SVM step by step as a sum of local bells, weighted and selected by hinge loss,…
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AI Helped Researchers Block a Virus Before Infection Began
AI Helped Researchers Block a Virus Before Infection Began Washington State University researchers are using AI and simulations to pinpoint a single molecular interaction that blocks viral entry. Jason Nelson Go to decrypt.co
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The Machine Learning “Advent Calendar” Day 15: SVM in Excel
The Machine Learning “Advent Calendar” Day 15: SVM in Excel Instead of starting with margins and geometry, this article builds the Support Vector Machine step by step from familiar models. By changing the loss function and reusing regularization, SVM appears naturally as a linear classifier trained by optimization. This perspective unifies logistic regression, SVM, and…
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Lessons Learned from Upgrading to LangChain 1.0 in Production
Lessons Learned from Upgrading to LangChain 1.0 in Production What worked, what broke, and why I did it The post Lessons Learned from Upgrading to LangChain 1.0 in Production appeared first on Towards Data Science. Clara Chong Go to original source
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The Machine Learning “Advent Calendar” Day 14: Softmax Regression in Excel
The Machine Learning “Advent Calendar” Day 14: Softmax Regression in Excel Softmax Regression is simply Logistic Regression extended to multiple classes. By computing one linear score per class and normalizing them with Softmax, we obtain multiclass probabilities without changing the core logic. The loss, the gradients, and the optimization remain the same. Only the number…
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The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What changes is the training objective. By adding a penalty on the coefficients, regularization forces the model to choose…
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NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating
NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating This one little trick can bring about enhanced training stability, the use of larger learning rates and improved scaling properties The post NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating appeared first on Towards Data Science. Sean Moran Go to original…
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The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel
The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel In this article, we rebuild Logistic Regression step by step directly in Excel. Starting from a binary dataset, we explore why linear regression struggles as a classifier, how the logistic function fixes these issues, and how log-loss naturally appears from the likelihood. With a…
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Decentralized Computation: The Hidden Principle Behind Deep Learning
Decentralized Computation: The Hidden Principle Behind Deep Learning Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-learning-based AI…
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STAT+: Trump order blocking state AI laws could slow health AI adoption, leave patients vulnerable
STAT+: Trump order blocking state AI laws could slow health AI adoption, leave patients vulnerable President Donald Trump’s new executive order to block state laws governing artificial intelligence could help the tech industry but hurt health systems looking to adopt AI safely, and leave patients without protection. This order, aimed at maintaining U.S. dominance in…
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Trump’s New AI Order Sets Up Federal Fight With US States Over Industry Regulation
Trump’s New AI Order Sets Up Federal Fight With US States Over Industry Regulation The White House has directed the DOJ to challenge state AI laws and highlighted Colorado’s algorithmic discrimination statute. Jason Nelson Go to decrypt.co
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The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel
The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel Linear Regression looks simple, but it introduces the core ideas of modern machine learning: loss functions, optimization, gradients, scaling, and interpretation. In this article, we rebuild Linear Regression in Excel, compare the closed-form solution with Gradient Descent, and see how the coefficients evolve step…
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How Agent Handoffs Work in Multi-Agent Systems
How Agent Handoffs Work in Multi-Agent Systems Understanding how LLM agents transfer control to each other in a multi-agent system with LangGraph The post How Agent Handoffs Work in Multi-Agent Systems appeared first on Towards Data Science. Kenneth Leung Go to original source