Samsung is developing a Large Language Model (LLM) solution similar to ChatGPT to boost various business processes, including software development, document summarization, and translation. Unlike other tech giants, Samsung's solution will not be available to the public initially. However, reports suggest that Samsung plans to launch the AI tool in July 2023, with hopes of shortening the period of software development and semiconductor design. Samsung plans to use an in-house solution after a high-level management meeting, and there are no public release plans yet. Keep an eye out for the rumored launch in July's Galaxy Unpacked event.
Samsung is reportedly developing its own AI model for documentation, software development, and language translation in-house. It is set to replace its previous ChatGPT model due to a recent internal data leak. The new Large Language Model (LLM) is expected to be fully deployed by the end of July with limited details currently available. Samsung has invested significant resources and manpower to develop this new AI-based solution.
CANGARU, a collaborative initiative of scientists, researchers, and regulatory organizations, aims to create guidelines for responsible use of Large Language Model artificial intelligence systems like ChatGPT. The framework prevents conflicts between multiple groups working independently and encourages the adoption of standardized reporting guidelines, promoting consensus on disclosure and guidance for LLM use in academic research and scientific writing. CANGARU's comprehensive and globally-relevant approach will prevent abuses in future LLM deployment.
Chinese science fiction author Liu Cixin discloses his usage of AI chatbot ChatGPT to help him write his latest speech due to a time crunch. While skeptics believe AI may dominate human tasks, Liu clarifies it won't happen. Liu joins Nobel laureate Mo Yan and China's tech companies in embracing language model development. Learn more about the increasing trend of AI in writing.
Healthcare industry is embracing large language models with enthusiasm despite lacking safety frameworks. Healthcare organizations are developing their own guardrails to use LLMs ethically & efficiently. Experts recommend piloting LLMs in nonclinical settings & focusing on hospital operations. Overall, the benefits of LLMs outweigh their risks.
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