NEWS IN BRIEF: AI/ML FRESH UPDATES

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Efficiently Solving Complex Physical Systems: The Power of Physics-Enhanced Deep Surrogates

Researchers at MIT and IBM have developed a new method called "physics-enhanced deep surrogate" (PEDS) that combines a low-fidelity physics simulator with a neural network generator to create data-driven surrogate models for complex physical systems. The PEDS method is affordable, efficient, and reduces the training data needed by at least a factor of 100 while achieving a target error of 5 per...

Balancing Exploration and Exploitation: A Dashboard Strategy for Analytics Managers

Developers of open world video games and analytics managers both face the challenge of balancing exploration and exploitation. To solve this tension, they can build alternative paths, offer knowledge management systems, foster online communities, and make continuous improvements. Salespeople, like gamers, have main quests in the form of specific metrics they need to track, so creating simple an...

Unveiling the Impact of Context Windows on Transformer Models

The article discusses the importance of understanding context windows in Transformer training and usage, particularly with the rise of proprietary LLMs and techniques like RAG. It explores how different factors affect the maximum context length a transformer model can process and questions whether bigger is always better.

Create Your Own Custom AI Assistant with OpenAI GPT: A Step-by-Step Guide

OpenAI has released an easy-to-use web tool to create custom AI assistants without coding, requiring only a Google or Microsoft account and a $20/month OpenAI Plus subscription. Users can personalize their AI assistant's name, picture, tone, and interaction style, and enhance its knowledge by uploading specific documents.

Unleashing the Power of LLM-Assisted Data Recipes

This article explores the limitations of using Large Language Models (LLMs) for conversational data analysis and proposes a 'Data Recipes' methodology as an alternative. The methodology allows for the creation of a reusable Data Recipes Library, improving response times and enabling community contribution.