Image credit: 123RF (with modification)
This tale begins with a detour to the 1970s. At that time, Terry Winograd was at MIT and rapidly becoming a central figure in...
A study by researchers at Arizona State University shows large language models perform very poorly at tasks that require methodical planning.
Image credit: 123RF
"And may their illusions rest in peace."
Martha Ketro
Many of us feel that life is accelerating, and we are...
The open-source example that BLOOM has set can be very beneficial to the future of research in LLMs and AI. But some of the challenges that are inherent to large language models remain to be solved.
A new study by the University of Tokyo shows that with the right prompt, large language models can perform zero-shot reasoning.
The public release of GitHub Copilot is an interesting case study in the development of successful products based on large language models.
By Víctor Mayoral-Vilches
When developing a robot, system integration consumes arguably the largest proportion of the project’s resources; much more so than developing the end...
According to a research paper by scientists at UCLA, transformers, the deep learning architectures used in LLMs, don’t learn to emulate reasoning functions.
Instead of "sentience" and "consciousness," we should discuss human compatibility and trust issues with current AI systems.
The new culture of Silicon Valley bring some of the brightest people to work on some defunct theory of the mind instead of solving a real problem and create real value for customers.