The AI Race Is Accelerating. Its Leaders Are Starting to Ask Whether the Frontier Should Slow Down By Malek el Khazen For …

MIT Technology Review by Amy Nordrum  -- No one can predict the future, but here at MIT Technology Review we spend much of our time thinking about what it might hold. One thing we know is that it’s especially hard to make predictions about technology. Most emerging technologies fizzle or flame out. Some start out as consumer devices but wind up finding their niche in more specialized applications. Only a few become household names. Each year, we put together a list of 10 Breakthrough Technologies, picking the advances that we think have the greatest potential to change our lives (for better or worse). We’ve done this for more than 20 years, and next month we’ll reveal our picks for the 2024 list. We haven’t always been right (RIP, Baxter), but we’ve often been early to spot important areas of progress (we put natural-language processing on our very first list in 2001; today this technology underpins large language models and generative AI tools like ChatGPT). Every year, our reporters and editors nominate technologies that they think deserve a spot, and we spend weeks debating which ones should make the cut. Here are some of the technologies we didn’t pick this time—and why we’ve left them off, for now.

New drugs for Alzheimer’s disease

Alzmeiher’s patients have long lacked treatment options. Several new drugs have now been proved to slow cognitive decline, albeit modestly, by clearing out harmful plaques in the brain. In July, the FDA approved Leqembi by Eisai and Biogen, and Eli Lilly’s donanemab could soon be next. But the drugs come with serious side effects, including brain swelling and bleeding, which can be fatal in some cases. Plus, they’re hard to administer—patients receive doses via an IV and must receive regular MRIs to check for brain swelling. These drawbacks gave us pause.

by dzone --- Pryanka Pathak ·-- Converges Artificial Intelligence (AI) and Natural Language Processing (NLP) to create wonders of language understanding and generation. In the era of AI-driven advancements, LLM technology has emerged as the hero of language comprehension and communication.

Introduction to LLM Technology

You might have heard whispers of "LLM technology ai" or "LLM tech" echoing through tech forums and AI discussions. But what exactly is it, and why should you care?

Well, you are about to find out the workings of these language giants, uncover their real-world applications, and explore the promises they bring to the future of the tech landscape.

By the end of this blog piece, you will not only understand what LLM technology is but also appreciate its significance in shaping the future of AI and NLP.