A New Google AI Research Proposes to Significantly Reduce the Burden on LLMs by Using a New Technique Called Pairwise Ranking Prompting (PRP)

Compared to their supervised counterparts, which may be trained with millions of labeled examples, Large Language Models (LLMs) like GPT-3 and PaLM have shown impressive performance on various natural language tasks, even in the zero-shot setting. However, utilizing LLMs to solve the basic text ranking problem has had mixed results. Existing findings often perform noticeably…

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Fast-Tracking the Fight Against Covid: Researchers Validate AI-Generated Antivirals, Paving the Way for Rapid Drug Development in Future Crises

A recent study conducted by researchers at IBM and Oxford University revealed a breakthrough in antiviral drug development. The researchers utilized generative artificial intelligence (AI) to design novel molecules that have the potential to block the SARS-CoV-2 virus, which causes Covid-19. This approach proved successful, as the team identified four potential Covid-19 antivirals in a…

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Researchers from the University of Toronto Introduce scGPT: A Foundation Model for Single-Cell Biology based on Generative Pre-Trained Transformer Across a Repository of Over 33 Million Cells

Natural language processing and computer vision are only examples of the fields where generative pre-trained models have succeeded incredibly. In particular, a viable strategy for constructing foundation models is to combine varied large-scale datasets with pre-trained transformers. The study investigates the feasibility of foundation models to further research in cellular biology and genetics by drawing…

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Driven to driverless | MIT News

When Cindy Heredia was choosing an MBA program, she knew she wanted to be at the forefront of the autonomous driving industry. While doing research, she discovered that MIT had a unique offering: a student-run driverless team. Heredia applied to MIT to join the team, hoping to get hands-on experience. “My hope is that we’re…

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