PYMNTS.com February 5, 2024

It takes three crucial things to build a cutting-edge, and reliable, artificial intelligence (AI) system.

First, you need a corpus of training data. Second, you need to algorithmically weight the inputs from that training data so that the AI system’s probability engine can generate accurate responses. Third, and perhaps most importantly, you need the compute power and resources to effectively implement and scale the prior two steps.

Meta CEO Mark Zuckerberg believes his company has the winning combination of all three to capture the lead in the tech sector’s ongoing AI arms race.

Fresh off of the stock market’s biggest ever single-session market value jump (a $197 billion boom), there’s a chance he may be right.

...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Big Data, Technology
AI-enabled clinical data abstraction: a nurse’s perspective
Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents
OpenAI’s latest product lets you vibe code science
WISeR in 2026: Legal, Compliance, and AI Challenges That Could Reshape Prior Authorization for Skin Substitutes
Dario Amodei warns AI may cause ‘unusually painful’ disruption to jobs

Share Article