Diagnosing and Fixing Overfitting in Machine Learning with Python
Overfitting is one of the most (if not the most!) common problems encountered when building machine learning (ML) models.
Overfitting is one of the most (if not the most!) common problems encountered when building machine learning (ML) models.
Global trade patterns are being redefined. As tariffs reshape international commerce, enterprises face a once-in-a-generation inflection point. To successfully navigate the rapidly evolving supply chains, dynamic pricing structures, and ever-shifting regulations, they will need to reevaluate their longstanding business practices in real-time or risk falling behind. This post explores how enterprises can harness Palantir to address …
This post is co-authored with Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah and Vaibhav Singh from Verisk. Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. …
Read more “Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion”
AI Hypercomputer is a fully integrated supercomputing architecture for AI workloads – and it’s easier to use than you think. In this blog, we break down four common use cases, including reference architectures and tutorials, representing just a few of the many ways you can use AI Hypercomputer today. Short on time? Here’s a quick …
Read more “Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials”
Yelp found that when it first launched a GPT-4o-powered AI chatbot, usage rates dropped. But training it to sound like a human changed that.Read More
In its final proposed remedy filing in the Google antitrust case, the Department of Justice reiterated that Google should stop paying partners for search placement—and divest its dominant Chrome browser.
Producing high-performance titanium alloy parts—whether for spacecraft, submarines or medical devices—has long been a slow, resource-intensive process. Even with advanced metal 3D-printing techniques, finding the right manufacturing conditions has required extensive testing and fine-tuning.
Agents are revolutionizing the landscape of generative AI, serving as the bridge between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to become the cornerstone of AI adoption across industries, heralding a new era of human-AI collaboration and problem-solving. By using the power of LLMs and combining them with specialized …
Read more “Build a Multi-Agent System with LangGraph and Mistral on AWS”
Today, we’re announcing built-in performance monitoring and alerts for Gemini and other managed foundation models – right from Vertex AI’s homepage. Monitoring the performance of generative AI models is crucial when building lightning-fast, reliable, and scalable applications. But understanding the performance of these models has historically had a steep learning curve: in the past, you …
Read more “Introducing built-in performance monitoring for Vertex AI Model Garden”
Mistral AI enables businesses to extract, analyze and interact with their documents in more intelligent ways.Read More