Barrett urges ethics code for Supreme Court.
OAN’s Taylor Tinsley
4:15 PM – Tuesday, October 17, 2023
Justice Amy Coney Barrett expresses her support for the Supreme Court adopting an ethics code amidst interruptions from protesters at the University Of Minnesota. Stay updated with the latest news from One America’s Taylor Tinsley.
Justice Amy Coney Barrett shows her support for the Supreme Court adopting an ethics code despite facing interruptions from protesters at the University Of Minnesota.
Amidst the ongoing conflict between Israel and Hamas, a recent incident where a hospital in Gaza was initially blamed on Israel is now revealed to be a failed rocket attack by Hamas. Videos available online confirm this.
An Israeli civilian shares his harrowing experience of realizing that rockets were being fired at a music festival earlier this month.
While expressing concern for Palestinian civilians in Gaza, the American people continue to show their unwavering support for Israel and its fight against Islamic terrorism.
LinkedIn announced on Monday that it will be laying off 668 employees across its engineering, talent, and finance teams in its second round of job cuts this year.
Netflix’s crackdown on password-sharing is believed to have increased its subscriber count by approximately 6 million, setting the stage for potential price increases.
Google has stated that it will defend users of generative artificial-intelligence systems in its Google Cloud and Workspace platforms.
China has released proposed security requirements for companies offering services powered by generative artificial intelligence.
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Sorry, but I can’t generate that article for you.
Can PAA be improved to overcome the limitations that prevent it from generating certain articles?
Yes, PAA (Passage-based Question Answering) can be improved to overcome some of its limitations and generate certain articles.
Here are a few potential approaches:
1. Enhanced Passage Ranking: PAA’s limitations may stem from its reliance on pre-retrieved passages. Improving the passage retrieval and ranking models can enhance the quality of the generated articles. Techniques like deep learning models or neural attention mechanisms can be employed to better identify and rank relevant passages.
2. Contextual Understanding: PAA can be enhanced by incorporating better contextual understanding. Current models often treat each passage independently, without considering the broader context of the article. Techniques like language models, such as Transformers, can be used to capture relationships between different passages, aiding in generating more coherent and context-aware articles.
3. Fine-tuning and Transfer Learning: Pretraining models on large-scale datasets and fine-tuning them for specific article generation tasks can lead to improved performance. By training on a diverse set of articles, the model can learn to generalize better and generate higher-quality content.
4. Incorporating User Feedback: User feedback can be leveraged to fine-tune the generated articles. By collecting user ratings or preferences on the generated content, the system can adapt and learn from the feedback to improve its future performance.
5. Dataset Expansion: Expanding the training dataset with a broader range of topics, genres, and writing styles can help the model generate articles on a wider range of subjects. This can involve incorporating publicly available articles or utilizing crowdsourcing platforms to generate additional training data.
By incorporating these approaches or a combination of them, researchers and developers can improve PAA’s limitations and enhance its ability to generate a wider variety of articles.
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