Redefining AI Training: Quality Over Quantity
phi-1, a new large language model for code, was trained on much less, but highly curated data in a faster time than comparable LLMs.
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Real-time Analytics News for the Week Ending September 16
In this week's real-time analytics news: MLCommons released its latest machine learning benchmark testing results.
Harvard Leverages Google Cloud HPC to Advance Heart Disease Research
The project hopes to demonstrate that public cloud resources can be harnessed to handle large-scale, high-fidelity simulations for medical applications.
Google DeepMind Unveils Enhanced Robotic Control with RT-2
RT-2 utilizes chain-of-thought reasoning, allowing it to make multi-stage decisions, such as selecting alternative tools or beverages based on specific …
Food and Beverage Industry Embracing Digitalization for Efficiency
Successful food and beverage companies continually innovate and upgrade their technological infrastructure using edge computing, big data, predictive …
Why Legacy Systems Should Be at the Center of Enterprise AI Strategy
Legacy systems are at the center of business operations. So, you can't use AI to understand or improve your business operations without
Real-time Analytics News for the Week Ending September 9
In this week's real-time analytics news: IBM announced plans for new generative AI foundation models and enhancements coming to
How Migrations to Modern Data Platforms are Revolutionizing Business Intelligence
The convergence of AI and data modernization is set to redefine the future of business
AI’s Potential in Enhancing Chronic Disease Management for Improved Patient Outcomes
Generative AI offers the promise of improved chronic disease management via enhanced risk assessment and personalized care.
Powering Recommender Systems for Next Best Action with Large Language Models
LLMs can enhance recommender systems, drawing insights from large volumes of data to guide next best