Results 21 to 30 of about 44,374 (263)
This paper provides an introductory survey to GPT-3. We cover some of the historical development behind this technology, some of the key features of GPT-3, and discuss the machine learning model and the datasets used. We survey both academic and commercial efforts applying GPT-3 in diverse domains such as developing conversational AI chatbots, software
Mingyu Zong, Bhaskar Krishnamachari
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The major challenge for the pyrolytic conversion of lignocellulosic materials into crude bio-oil is the poor quality of the final product. Several strategies (addition of solvents, production of emulsions, and extraction with biodiesel) have been studied
Lucía Botella +9 more
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The rise of advanced language models like GPT-3 and text generation has witnessed remarkable progress. However, leveraging the vast amount of knowledge within these models to enhance information retrieval performance remains an area that needs to be ...
Kaira Milani Fitria
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Prompt engineering of GPT-4 for chemical research: what can/cannot be done?
This paper evaluates the capabilities and limitations of the Generative Pre-trained Transformer 4 (GPT-4) in chemical research. Although GPT-4 exhibits remarkable proficiencies, it is evident that the quality of input data significantly affects its ...
Kan Hatakeyama-Sato +4 more
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NAACL Findings ...
Drinkall, F +3 more
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Elevation of BSF-2 Level in Serum of Patients with Hepatitis B Virus
Background: Hepatitis B is the main infection of the injured liver for humans. Inflammation of the liver is caused by hepatitis viruses may lead to cirrhosis and hepatocellular carcinoma.
Ali A. Dawood +2 more
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To GPT or not GPT? Empowering our students to learn with AI
I argue that ChatGPT and other generative artificial intelligence tools pose three main threats to our current education systems, creating problems of measurement, information accuracy, and skill devaluation. But when we place these threats into historical context, we see that AI tools can also empower students and level the educational playing field ...
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Table-GPT: Table-tuned GPT for Diverse Table Tasks
Language models, such as GPT-3.5 and ChatGPT, demonstrate remarkable abilities to follow diverse human instructions and perform a wide range of tasks. However, when probing language models using a range of basic table-understanding tasks, we observe that today's language models are still sub-optimal in many table-related tasks, likely because they are ...
Peng Li 0062 +8 more
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Sim-GPT: Text Similarity via GPT Annotated Data
Due to the lack of a large collection of high-quality labeled sentence pairs with textual similarity scores, existing approaches for Semantic Textual Similarity (STS) mostly rely on unsupervised techniques or training signals that are only partially correlated with textual similarity, e.g., NLI-based datasets.
Shuhe Wang +7 more
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Will Machines Replace Us? Machine-Authored Texts and the Future of Scholarship
We present here the first machine-generated law review article. Our self-interest motivates us to believe that knowledge workers who write complex articles drawing upon years of research and effort are safe from AI developments.
Benjamin Alarie +2 more
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