When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.Computer Sciences[#item_full_content]

The parents of teenagers who killed themselves after interactions with artificial intelligence chatbots are planning to testify to Congress on Tuesday about the dangers of the technology.The parents of teenagers who killed themselves after interactions with artificial intelligence chatbots are planning to testify to Congress on Tuesday about the dangers of the technology.Internet[#item_full_content]

Millions of words spoken in the U.K.’s highest court risk being misunderstood, misquoted or simply missed because transcribing them accurately is too difficult and too expensive, according to a new study from the University of Surrey.Millions of words spoken in the U.K.’s highest court risk being misunderstood, misquoted or simply missed because transcribing them accurately is too difficult and too expensive, according to a new study from the University of Surrey.Machine learning & AI[#item_full_content]

Training humanoid robots to hike could accelerate development of embodied AI for tasks like autonomous search and rescue, ecological monitoring in unexplored places and more, say University of Michigan researchers who developed an AI model that equips humanoids to hit the trails.Training humanoid robots to hike could accelerate development of embodied AI for tasks like autonomous search and rescue, ecological monitoring in unexplored places and more, say University of Michigan researchers who developed an AI model that equips humanoids to hit the trails.Robotics[#item_full_content]

To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked.To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked.Machine learning & AI[#item_full_content]

OpenAI’s latest research paper diagnoses exactly why ChatGPT and other large language models can make things up—known in the world of artificial intelligence as “hallucination.” It also reveals why the problem may be unfixable, at least as far as consumers are concerned.OpenAI’s latest research paper diagnoses exactly why ChatGPT and other large language models can make things up—known in the world of artificial intelligence as “hallucination.” It also reveals why the problem may be unfixable, at least as far as consumers are concerned.Business[#item_full_content]

An artificial intelligence system that was fed Institutional Shareholder Services Inc.’s publicly available proxy voting guidelines, as well as activist and management statements on shareholder proposals, can effectively predict how shareholders will vote on resolutions, the co-authors of new research on leveraging AI as a proxy advisor found.An artificial intelligence system that was fed Institutional Shareholder Services Inc.’s publicly available proxy voting guidelines, as well as activist and management statements on shareholder proposals, can effectively predict how shareholders will vote on resolutions, the co-authors of new research on leveraging AI as a proxy advisor found.Business[#item_full_content]

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a standard tool. But it is not enough for AI to simply deliver useful results: it is becoming ever more important that it also complies with legal, ethical, and social norms. But how can such norms be taught to a machine?Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a standard tool. But it is not enough for AI to simply deliver useful results: it is becoming ever more important that it also complies with legal, ethical, and social norms. But how can such norms be taught to a machine?Computer Sciences[#item_full_content]

Generative AI promises to help solve everything from climate change to poverty. But behind every chatbot response lies a deep environmental cost.Generative AI promises to help solve everything from climate change to poverty. But behind every chatbot response lies a deep environmental cost.Energy & Green Tech[#item_full_content]

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