It seems there was an incomplete request. Based on your request, it appears you’re looking for information about making new discoveries in mathematical sciences using Large Language Models (LLMs). Here is a summary of the information provided:
Google DeepMind, a subsidiary of Google that specializes in artificial intelligence (AI) and machine learning, has been involved in various projects that utilize LLMs for advancements in various fields, including mathematical sciences. Below are the key points about their recent projects:
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Gemini Models: Gemini models are the most general and capable AI models developed by Google DeepMind. These models are designed to solve a wide range of scientific and engineering challenges, which could potentially include mathematical sciences.
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Ultra Model: This is the largest model developed by Google DeepMind, designed for highly complex tasks. It might be applicable in discovering new mathematical concepts and theories due to its high computational power.
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Project Astra: This is a universal AI agent that could be useful in everyday life, suggesting its applications could extend to various fields, including mathematics, where it could assist in problem-solving and the exploration of new mathematical concepts.
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Imagen: This model is specialized in generating high-quality text-to-image content. Although it might not directly impact mathematical discoveries, it could potentially be used in visualizing mathematical concepts and theories.
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Veo: This model is designed for generating video content, which could be used in creating educational materials or visual representations of mathematical theories and proofs.
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SynthID: This technology helps in identifying AI-generated content, which could be useful in verifying the authenticity of mathematical proofs and theories generated by AI.
Regarding the specific article FunSearch: Making new discoveries in mathematical sciences using Large Language Models, it was published on December 14, 2023, by authors Alhussein Fawzi and Bernardino Romera Paredes. The full article was not provided, but it likely discusses the application of LLMs in mathematical sciences, possibly detailing methods and techniques for discovering new mathematical concepts, theories, or solving complex mathematical problems using AI.
To access the full article, you might need to look for it in academic databases or on the Google DeepMind blog, as it was mentioned to be part of the Google DeepMind content.
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