In recent years, large language models (LLMs) have made significant progress in generating human-like text, translating ...

Enter small language models (SLMs). These language models are trained on specific data sets, rather than the entirety of ...

LLM offshoots with a lower number of parameters are more economical in operation, but also have clear weaknesses.

Security was top of mind when Dr. Marcus Botacin, assistant professor in the Department of Computer Science and Engineering, ...

Join Sara Fish at BKC as she shares emerging research on Large Language Models (LLMs), and their promises, limitations, and ...

LexisNexis fine-tuned Mistral models to build its Protege AI assistant, relying on distilled and small models for its AI platform.

Artificial intelligence giant OpenAI is developing a new large language model with creative writing skills that have already ...

Together, these open-source contenders signal a shift in the LLM landscape—one with serious implications for enterprises ...

Alibaba claims large reasoning models outperform large language models in stylized and document-level translation.

Learn why MCP is the future of AI integration, offering a standardized framework to unlock advanced applications and ...

The emergence of vision language models (VLMs) offers a promising new approach. VLMs integrate computer vision (CV) and natural language processing (NLP), enabling AVs to interpret multimodal data by ...

An AI model trained on dozens of hours of real-world conversation accurately predicts human brain activity and shows that ...