Benchmarking large language models presents some unusual challenges. For one, the main purpose of many LLMs is to provide compelling text that’s indistinguishable from human writing. And success in ...

In a Q&A, Gabe Gomes discusses the potential to combine human creativity with machine capability, transforming chemical ...

The term "AI agent" is everywhere in tech conversations, but it's clear that the definition of an AI agent is far from unified. What exactly does it mean?

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and energy efficient.

NEW DELHI: India is building its own large language model it hopes one day may rival OpenAI's chatbot ChatGPT, but the country’s countless languages and dialects have made training it a ...

For DOD, the future of large language models is smaller Everyone loves big AI, but “maybe there is a smaller-parameter model that could run on a laptop.” Patrick Tucker | May 22, 2025 ...

But for many users, a small, targeted model will work just as well, while being easier for researchers to train and build. “These efficient models can save money, time, and compute,” Choshen said.

In their research on enhancing LoRA-based fine-tuning for LLMs, the research team introduced an Enhanced Matrix Decomposition ...

OpenAI’s open-weight language model GPT-2 was partially released in February 2019, followed by a full release in November of the same year. Related: ‘Our GPUs are melting’ — OpenAI puts ...

Anthropic researchers found that if they turned up the dial on this component, Claude could be made to self-identify not as a large language model but as the physical bridge itself.

Pruning can help researchers fine-tune a small language model for a particular task or environment. For researchers interested in how language models do the things they do, smaller models offer an ...