Researchers introduce a new method to efficiently differentiate large language models (LLMs) in a black-box setting using ...

New research presents a translation-based prompting technique that can improve the performance of large language models in ...

Researchers introduced Requirement-Oriented Prompt Engineering (ROPE), a new training method that significantly improves ...

Phrase and Uber leaders highlight localization's strategic value, emphasizing LLM-enabled automation in a language AI tech ...

Recent advancements in large language models (LLMs) have generated enthusiasm about their potential to accelerate scientific innovation. Many studies have proposed research agents that can ...

The structure of MOFs is characterized by an open framework that can be porous (porous materials). MOFs can be used for gas storage, purification and separation, as well catalysis and sensing ...

You’ll develop transferable skills such as critically evaluating, problem-solving, and working collaboratively to apply your knowledge of Public International Law in today’s continuously expanding ...

Haystack is an easy open-source framework for building RAG pipelines and LLM-powered applications, and the foundation for a ...

Adoption of the PythiaAITM Agentic LLM framework allowed for the Discovery of novel Therapeutics in Record Time and Efficiency PythiaAITM is a first-of-a-kind Agentic Large Language Model (LLM ...