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Camel: Communicative agents for" mind" exploration of large language model society
The rapid advancement of chat-based language models has led to remarkable progress in
complex task-solving. However, their success heavily relies on human input to guide the …
complex task-solving. However, their success heavily relies on human input to guide the …
Camel: Communicative agents for" mind" exploration of large scale language model society
The rapid advancement of conversational and chat-based language models has led to
remarkable progress in complex task-solving. However, their success heavily relies on …
remarkable progress in complex task-solving. However, their success heavily relies on …
A Review of Artificial Intelligence, Algorithms, and Robots Through the Lens of Stakeholder Theory
With the arrival of the Fourth Industrial Revolution, intelligent machines are affecting the
daily lives of multiple organizational stakeholders. However, despite the continued …
daily lives of multiple organizational stakeholders. However, despite the continued …
Steerable Alignment with Conditional Multiobjective Preference Optimization
J Manyika - 2024 - dspace.mit.edu
As the scale, capabilities and use-cases of large language models (LLMs) continue to grow,
it is imperative that these systems are aligned with human preferences. Current state of the …
it is imperative that these systems are aligned with human preferences. Current state of the …
Studying and improving reasoning in humans and machines
S Palminteri, N Yax, H Anllo - 2023 - researchsquare.com
In the present study, we investigate and compare reasoning in large language models (LLM)
and humans using a selection of cognitive psychology tools traditionally dedicated to the …
and humans using a selection of cognitive psychology tools traditionally dedicated to the …