A new research paper shows that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy. This is achieved via a new pruning method called …
Research Highlights: SparseGPT: Prune LLMs Accurately in One-Shot Read more »
Researchers at the Max Planck Institute for Biological Cybernetics in Tübingen have examined the general intelligence of the language model GPT-3, a powerful AI tool. Using psychological tests, they studied competencies such as causal reasoning and deliberation, and compared the …
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights …
In this special guest feature, Arnold Liwanag, TealBook’s Chief Technology Officer, highlights the top three reasons to utilize AI when searching for new and diverse suppliers in the ever changing marketplace. The current supply chain landscape of manufacturing disruptions and …
AI is Critical to Finding Diverse Suppliers — Here’s Why Read more »