Elon Musk reveals xAI efforts, predicts full AGI by 2029
While Musk didn’t specifically detail how xAI will be able to compete effectively against its rivals, he did outline a specific timeline.Read More
Study examines productivity effects of ChatGPT when used by college-educated professionals
A pair of economists at MIT have conducted an experiment designed to determine if the use of ChatGPT by college-educated professionals can make them more productive. In their study, reported in the journal Science, Shakked Noy and Whitney Zhang designed and conducted a study in which college-educated professionals engaged in incentivized writing tasks.
Clipdrop Launches Stable Doodle
Stability AI launches Stable Doodle, a sketch-to-image tool that converts a simple drawing into a dynamic image, providing limitless imaging possibilities to a range of professionals and hobbyists. Bringing a drawing to life has never been made simpler. This new tool from Clipdrop by Stability AI has the ability to dramatically enhance a range of …
Data integrity vs. data quality: Is there a difference?
In short, yes. When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality uses those criteria to measure the level of data integrity and, in turn, its reliability and applicability for its …
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Symbol tuning improves in-context learning in language models
Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research A key feature of human intelligence is that humans can learn to perform new tasks by reasoning using only a few examples. Scaling up language models has unlocked a range of new applications and paradigms in machine learning, including the ability to …
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Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning
Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening new possibilities with generative AI: large language models (LLMs) that synthesize natural language, text-to-image generators, and more. These increased capabilities of DNNs come with the cost of having massive models that …
Improve training time of distributed machine learning with NCCL Fast Socket
Large Machine Learning (ML) models – such as large language models, generative AI, and vision models – are dramatically increasing the number of trainable parameters and are achieving state-of-the-art results. Increasing the number of parameters results in the model being too large to fit on a single VM instance thus demands distributed compute to spread …
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AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries
A watershed moment on Nov. 22, 2022, was mostly virtual, yet it shook the foundations of nearly every industry on the planet. On that day, OpenAI released ChatGPT, the most advanced artificial intelligence chatbot ever developed. This set off demand for generative AI applications that help businesses become more efficient, from providing consumers with answers …
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Building out generative AI models: Insights from MosaicML
Not all models are the same: Enterprises should mix, match and build their own models for generative AI success, says MosaicML founder.Read More