Legendary investor Howard Marks was skeptical about AI. What it said to him about Warren Buffett and Charlie Munger has left him shaken

The Oaktree cofounder asked Anthropic’s Claude to give him a tutorial. “I want to try to communicate [my] level of awe,” he ...
Tech Xplore

AI energy use: New tools show which model consumes the most power, and why

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...
Big Island Now

Business Monday: Kona swimwear designer to represent Hawaiʻi at New York Fashion Week

At the prestigious New York Fashion Week in September, 25-year-old Jamiana Tan of Kona was invited to showcase her Native Hawaiian swimwear brand, Hilia Swim, on Runway 7. She plans to bring ...
PCMag Australia

With Nvidia's GB10 Superchip, I’m Running Serious AI Models in My Living Room. You Can, Too

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...
Circuit Digest

DIY Raspberry Pi Pico Text-to-Speech Using Wit.ai

Type a sentence into the input bar at the top of the Serial Monitor and hit Enter to send it to the Wit.ai API. The console ...
IEEE

Large-Scale Completion of Ionospheric TEC Maps Using Machine Learning Models With Constraints Conditions

Abstract: Total electron content (TEC) is a key ionospheric parameter, but data gaps, especially over oceans, remain challenging due to sparse receiver coverage. Deep learning offers promising ...
marktechpost

How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
IEEE

Carbon Emission Quantification of Machine Learning: A Review

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...