Research into AI is experiencing a boom, so we have rounded up the best of news from the past month to help you keep up to date.
Category: robotics/AI – Page 977
What Are Large Language Models and Why Are They Important?
AI applications are summarizing articles, writing stories and engaging in long conversations — and large language models are doing the heavy lifting.
A large language model, or LLM, is a deep learning algorithm that can recognize, summarize, translate, predict and generate text and other forms of content based on knowledge gained from massive datasets.
Large language models are among the most successful applications of transformer models. They aren’t just for teaching AIs human languages, but for understanding proteins, writing software code, and much, much more.
Photonic chip enables faster and more energy-efficient artificial intelligence programs
The data centers and high-performance computers that run artificial intelligence programs, such as large language models, aren’t limited by the sheer computational power of their individual nodes. It’s another problem—the amount of data they can transfer among the nodes—that underlies the “bandwidth bottleneck” that currently limits the performance and scaling of these systems.
The nodes in these systems can be separated by more than one kilometer. Since metal wires dissipate electrical signals as heat when transferring data at high speeds, these systems transfer data via fiber-optic cables. Unfortunately, a lot of energy is wasted in the process of converting electrical data into optical data (and back again) as signals are sent from one node to another.
In a study published in Nature Photonics, researchers at Columbia Engineering demonstrate an energy-efficient method for transferring larger quantities of data over the fiber-optic cables that connect the nodes. This new technology improves on previous attempts to transmit multiple signals simultaneously over the same fiber-optic cables. Instead of using a different laser to generate each wavelength of light, the new chips require only a single laser to generate hundreds of distinct wavelengths of light that can simultaneously transfer independent streams of data.
Elon Musk blames data scraping by AI startups for his new paywalls on reading tweets
Now unverified accounts will only be able to see 600 posts per day, and for “new” unverified accounts, just 300 in a day. The limits for verified accounts (presumably whether they’re bought as a part of the Twitter Blue subscription, granted through an organization, or verification Elon forced on people like Stephen King, LeBron James, and anyone else with more than a million followers) still allow reading only a maximum of 6,000 posts per day.
Shortly after that, Musk tweeted that the rate limits would “soon” increase to 8,000 tweets for verified users, 800 for unverified, and 400 for new unverified accounts.
