Large language models (LLMs) like ChatGPT have the potential to revolutionize research by aiding in literature searches, data analysis, and programming tasks. LLMs can efficiently gather and filter relevant information from the internet, making them useful for interdisciplinary fields...
Transformer-based large language models are making significant strides in various fields, such as natural language processing1,2,3,4,5, biology6,7, chemistry8,9,10 and computer programming11,12. Here, we show the development and capabilities of Coscientist, an artificial intelligence system driven...
Adapting large-language models for automated incident management Recent breakthroughs in AI have enabled LLMs to develop a rich understanding of natural language. They can understand and reason over large volumes of data and complete a diverse set of tasks, such as code completion, translation,...
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies Gati Aher, Rosa I. Arriaga, Adam Tauman Kalai ICML 2023|February 2023 We introduce a new type of test, called a Turing Experiment (TE), for evaluating how well...
Google AI Research Propose a General Approach for Personalized Text Generation Using Large Language Models (LLMs)
Installation Example: $ git clone https://github.com/brainhack-vandy/large-language-models-as-research-accelerator.git $ cd large-language-models-as-research-accelerator $ pip install jupyter numpy scikit-learn nilearn matplotlib $ jupyter-notebook About...
This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understanding, reasoning, and language processing. It aims to address gaps in current research by exploring areas such as KG Ques...
Large language models can propose fine-tuning adjustments for an electron accelerator in Germany. Research Highlight07 Jan 2025 Fancy birds decorate nests with a natural pattern: snakeskin The use of shed skins might help to ward off predators, experiments suggest. ...
Explore advancements in state of the art machine learning research in speech and natural language, privacy, computer vision, health, and more.
With the help of creative prompt engineering and in-context learning, large language models (LLMs) are known to generalize well on a variety of text-based natural language processing (NLP) tasks. However, for performing well on spoken language understanding (SLU) tasks, LLMs either need to be...