Large language models
Recent articles
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Explore more from The Transmitter
Systems and circuit neuroscience need an evolutionary perspective
To identify fundamental neuroscientific principles that generalize across species, neuroscientists must frame their research through an evolutionary lens.
Systems and circuit neuroscience need an evolutionary perspective
To identify fundamental neuroscientific principles that generalize across species, neuroscientists must frame their research through an evolutionary lens.
Keith Hengen and Woodrow Shew explore criticality and cognition
The two discuss their evolving views of brain criticality as a central organizing principle of cognition, development and learning.
Keith Hengen and Woodrow Shew explore criticality and cognition
The two discuss their evolving views of brain criticality as a central organizing principle of cognition, development and learning.
NIH proposal sows concerns over future of animal research, unnecessary costs
The new NIH policy calls for greater incorporation of new approach methodologies in all future Notices of Funding Opportunities related to animal model systems.
NIH proposal sows concerns over future of animal research, unnecessary costs
The new NIH policy calls for greater incorporation of new approach methodologies in all future Notices of Funding Opportunities related to animal model systems.