Large language models are high-capacity neural sequence models trained on massive text and multimodal corpora to perform language understanding, generation, and reasoning. Current work examines their internal representations, cognitive and social behavior analogies to humans, and limitations in mathematical, causal, and strategic reasoning. Research also addresses alignment with human values and brain activity, safety and security vulnerabilities, privacy and de-anonymization risks, cross-lingual and sociocultural biases, scaling and efficiency laws, and frameworks for tool use, multi-agent interaction, and domain-specific deployment.
Computer Sciences
Neurons—the nerve cells responsible for transmitting electrical and chemical signals throughout the body—are organized in tissue, tending to cluster together in groups according to how they function. For example, language ...
Apr 24, 2025
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Computer Sciences
Large language models (LLMs) are at the forefront of artificial intelligence (AI) and have been widely used for conversational interactions. However, assessing the personality of a given LLM remains a significant challenge.
Apr 24, 2025
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Computer Sciences
Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers' lives easier if that code follows the rules of the programming language and doesn't cause ...
Apr 18, 2025
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Computer Sciences
Creativity is no longer exclusive to humans. Some forms of artificial intelligence are capable of producing poetry, entrepreneurial concepts, even visual art. Many people use large language models (LLMs) such as ChatGPT, ...
Apr 17, 2025
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Machine learning & AI
ChatGPT and other AI chatbots based on large language models are known to occasionally make things up, including scientific and legal citations. It turns out that measuring how accurate an AI model's citations are is a good ...
Apr 17, 2025
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Computer Sciences
As we mature from childhood, our vocabulary—as well as the ways we use it—grows, and our experiences become richer, allowing us to think, reason, and interact with others with specificity and intention. Accordingly, our ...
Apr 15, 2025
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Computer Sciences
A small team of AI researchers from Carnegie Mellon University, Stanford University, Harvard University and Princeton University, all in the U.S., has found that if large language models are over-trained, it might make them ...
Machine learning & AI
Small language models are more reliable and secure than their large counterparts, primarily because they draw information from a circumscribed dataset. Expect to see more chatbots running on these slimmed-down alternatives ...
Apr 7, 2025
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Machine learning & AI
In 1948, the founder of information theory, Claude Shannon, proposed modeling language in terms of the probability of the next word in a sentence given the previous words. These types of probabilistic language models were ...
Apr 2, 2025
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Business
Imagine a coffee company trying to optimize its supply chain. The company sources beans from three suppliers, roasts them at two facilities into either dark or light coffee, and then ships the roasted coffee to three retail ...
Apr 2, 2025
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