tech industry: Don't expect chatbots to continue to improve as quickly as they have over the past few years.
AI researchers have for some time been relying on a fairly simple concept to improve their systems: the more data culled from the internet that they pumped into large language models — the technology behind chatbots — the better those systems performed.
But Hassabis, who oversees Google DeepMind, the company's primary AI lab, now says that method is running out of steam simply because tech companies are running out of data.
«Everyone in the industry is seeing diminishing returns,» Hassabis said this month in an interview with The New York Times as he prepared to accept a Nobel Prize for his work on AI.
Hassabis is not the only AI expert warning of a slowdown. Interviews with 20 executives and researchers showed a widespread belief that the tech industry is running into a problem many would have thought was unthinkable just a few years ago: They have used up most of the digital text available on the internet.
Web Development
Advanced C++ Mastery: OOPs and Template Techniques
By — Metla Sudha Sekhar, IT Specialist and Developer
Web Development
Intermediate Java Mastery: Method, Collections, and Beyond
By — Metla Sudha Sekhar, IT Specialist and Developer
Artificial Intelligence(AI)
Learn InVideo AI: Create Videos from Text Easily
By — Prince Patni, Software Developer (BI, Data Science)
Entrepreneurship
Building Your Winning Startup Team: Key Strategies for Success
By — Dr. Anu Khanchandani, Startup Coach with more