Conclusion. In summary, the architecture and training of Large Language Models represent a significant leap in AI capabilities. By leveraging the transformer model and extensive training methodologies, LLMs continue to evolve, driving forward the frontiers of artificial intelligence research and application.
18 hours ago
1 hour ago · The textbook undergoes rigorous peer review by a panel of experts. A journalist fact checks the geologist's statements, and the news editor reviews to ensure ...
15 hours ago · Abstract: Large Language Models (LLMs) have emerged as powerful tools in the domain of artificial intelligence, specifically enhancing natural language ...
12 hours ago · We are a team of two master's students from the MS in Human Computer Interaction program at Georgia Institute of Technology conducting research on tools and ...
19 hours ago · LLMs are designed to understand and generate human-like text. They achieve this by training on diverse datasets, which include billions of words and images.
15 hours ago · This paper categorizes the applications of LLMs in innovation and entrepreneurship into three main areas: technological innovation, strategic decision-making, ...
23 hours ago · Large language models (LLMs) show good performance on some complicated reasoning tasks, yet could also make the most basic reasoning mistakes.
19 hours ago · Original Research—Clinical. Large language models outperform traditional natural language processing methods in extracting patient-reported outcomes in IBD.
10 hours ago · In this review, the most recent developments of LLMs in the field of drug development are illustrated, especially promising models such as ChatGPT. Moreover, ...
22 hours ago · A bibliometric review of large language models research from 2017 to 2023. ... From large language models to large multimodal models: A literature review.