news.ucsb.edu

Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Exploring Intelligent Upgrades in Automotive Education and Evaluation Based on Multi-Modal Large Models

Empowering Education and Evaluation Optimization with Large Models The core of this patent lies in constructing an automotive education and evaluation optimization system based on large models. The ...
Geeky Gadgets

PicoLM Framework: Simplifying Language Model Training and Analysis

Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of configuring ...
Search Engine Land

LLM optimization: Can you influence generative AI outputs?

Get a glimpse into the future of SEO as it intersects with AI. Uncover potential strategies and challenges in influencing AI-powered search. Since the introduction of generative AI, large language ...
TechCrunch

Deep Cogito emerges from stealth with hybrid AI ‘reasoning’ models

A new company, Deep Cogito, has emerged from stealth with a family of openly available AI models that can be switched between “reasoning” and non-reasoning modes. Reasoning models like OpenAI’s o1 ...