Models
Risk Prediction Models: How They Work and Their Benefits | TechTarget
One of my favorite consulting clients is an outdoor clothing retailer. It’s a highly seasonal business — summer and winter gear are different, obviously. But fashions, styles and popular color combinations change every year, too. The company’s buyers must make decisions about inventory well in advance to order for upcoming seasons. They obsess about…
5 car features that are set to disappear from all new models
Summary Naturally aspirated engines are being phased out for smaller turbocharged options due to manufacturers favoring economy. Analog gauges are disappearing as manufacturers transition to digitized instrument clusters for a video game-like feel. Handbrake levers are becoming obsolete as electrical parking brakes replace mechanical ones, signifying a shift towards user-friendliness. The lines between luxury automobiles…
A new paradigm for AI: How ‘thinking as optimization’ leads to better general-purpose models
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at the University of Illinois Urbana-Champaign and the University of Virginia have developed a new model architecture that could lead to more robust AI systems with more powerful…
Thought Anchors: A Machine Learning Framework for Identifying and Measuring Key Reasoning Steps in Large Language Models with Precision
Understanding the Limits of Current Interpretability Tools in LLMs AI models, such as DeepSeek and GPT variants, rely on billions of parameters working together to handle complex reasoning tasks. Despite their capabilities, one major challenge is understanding which parts of their reasoning have the greatest influence on the final output. This is especially crucial for…
Unpacking the bias of large language models
Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle. This “position bias” means that, if a lawyer is using an LLM-powered virtual assistant to retrieve a certain phrase in a 30-page affidavit, the LLM is more likely to…
Do reasoning models really “think” or not? Apple research sparks lively debate, response
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Apple’s machine-learning group set off a rhetorical firestorm earlier this month with its release of “The Illusion of Thinking,” a 53-page research paper arguing that so-called large reasoning models (LRMs) or reasoning…
Teaching AI models the broad strokes to sketch more like humans do
When you’re trying to communicate or understand ideas, words don’t always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept — for example, diagramming a circuit might help make sense of how the system works. But what if artificial intelligence could help us explore these visualizations? While…
Teaching AI models what they don’t know
Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don’t always reveal the gaps in their knowledge or areas where they’re uncertain. That problem can have huge consequences as AI systems are increasingly used to do things like develop drugs, synthesize information, and drive autonomous cars. Now, the…
Study shows vision-language models can’t handle queries with negation words
Imagine a radiologist examining a chest X-ray from a new patient. She notices the patient has swelling in the tissue but does not have an enlarged heart. Looking to speed up diagnosis, she might use a vision-language machine-learning model to search for reports from similar patients. But if the model mistakenly identifies reports with both…
Measuring perception in AI models
New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet…