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TheoremLlama: A Comprehensive System for Educating a Universally Applicable Broad Language Model to Excel in Lean4.

In recent years, the advancement of technology has allowed for the development of computer-verifiable formal languages, further advancing the field of mathematical reasoning. One of these languages, known as Lean, is an instrument employed to validate mathematical theorems, thereby ensuring accuracy and consistency in mathematical outcomes. Scholars are increasingly using Large Language Models (LLMs), specifically…

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SenseTime launched SenseNova 5.5, establishing a new standard to compete with GPT-4o across five of eight critical indicators.

Chinese AI tech giant, SenseTime, announced a major upgrade for their flagship product SenseNova 5.5 at the 2024 World Artificial Intelligence Conference & High-Level Meeting on Global AI Governance. The update incorporates the first real-time multimodal model in China, SenseNova 5o, and demonstrates a commitment to providing innovative and practical applications in various industries. SenseNova 5o…

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Extensive analysis of U.S. census information has revealed that much of the employment is in new roles.

A new study led by MIT economist David Autor reveals that most work in the U.S. today is new work, with a majority of jobs being in occupations that have only emerged widely since 1940. The study found that about six out of ten jobs people are doing currently did not exist in 1940, which…

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Extensive examination of U.S. census data reveals that the majority of labor involves fresh tasks.

New research from MIT suggests that approximately 60% of current jobs did not exist in 1940. Led by MIT economist David Autor, the study examined new job creation in the US from 1940 to 2018. The researchers found that many new jobs were created by technological advancements, although some originated from consumer demand, such as…

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An update on our dedication to secure, accountable generative AI progression.

Amazon has long been committed to developing responsible AI, embedding safety, fairness, security, and privacy into its processes. This commitment involves not just the creation of more than 70 tools and mechanisms supporting responsible AI, but also educating employees and the public through thousands of training hours and free courses. In the multi-faceted approach adopted…

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An update on our dedication to secure, accountable AI technology advancement.

Amazon has been leading the way in responsible AI development, embedding safety, fairness, security, privacy, and robustness into its development process to protect customers. It has created over 70 tools and mechanisms that support responsible AI and published over 500 papers on the subject. Additionally, they also deliver training on responsible AI practice to employees…

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Enabling all with GenAI to quickly develop, tailor, and safely launch apps: Key points from the AWS New York Summit

Organizations are increasingly investing in artificial intelligence (AI) to help employees complete their tasks more efficiently and innovate their operations. Tapping into this potential, Amazon has developed a comprehensive generative AI stack to help organizations build and scale customized AI applications. At the top of this stack, Amazon has its AI-powered assistant, Amazon Q. Amazon Q…

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Highlights from the AWS New York Summit: Providing everyone with GenAI tools for quick, secure and personalized app development and deployment.

Generative AI is revolutionizing work environments, promoting innovation and enhancing app user experiences. To actualize its benefits, businesses must invest in generative AI stacks that can scale to their needs, ensuring robust infrastructure and data protection. Amazon has played a key role here, with twice as many generative and machine learning features introduced compared to…

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Simplify the development of generative AI in Amazon Bedrock using Prompt Management and Prompt Flows (preliminary view).

Amazon Bedrock is introducing two new features; Prompt Management and Prompt Flows. These tools are set to expedite the design, testing, and execution of generative Artificial Intelligence (AI) applications. Developers will be able to create more effective solutions, which will also be easier to maintain. As generative AI gains traction, many organizations are facing challenges in…

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