2021; Raji & Yang,2019; Stoyanovich et al.,2022; Raji et al.,2020), thus enabling stakeholders to easily inspect all the actions performed across the many steps of the pipeline. This also contributes to increasing the trust on
Large language models (LLMs) have demonstrated exceptional performance across a broad range of NLP tasks [5, 38, 24, 36, 37, 62]. In recent research, LLMs have been proposed as task-specific training data generators, particularly for text classification, aiming to alleviate the need for task...
image-similarity.md inference-endpoints.md inference-update.md infinity-cpu-performance.md intel-sapphire-rapids.md intel.md interns-2023.md intro-graphml.md introducing-csearch.md introducing-doi.md introducing-private-hub.md japanese-stable-diffusion.md large-language-models.md lewis-tun...
Strong in-group bonds, facilitated by implicit favoritism for in-group members (i.e., in-group bias), promote mental health across development. Yet, we know little about how the development of in-group bias is shaped by early-life experiences. Childhood violence exposure is known to alter so...
The standard reweighting models, where reweighting does not differentiate subpopulations, perform almost identically to the original model when applied to Asian and age [40, 50) patient groups (Supplementary Fig. 14). This performance similarity between the standard reweighting model and the original mo...
The reason that educational and ability tests have been able to predict academic success so well is because of their similarity of content and structure to the educational cri- teria. The relationship between test and educational mater- ials is isomorphic or point to point. It is therefore, ...
countsimQC reports, illustrating the similarity between each simulated dataset and the respective underlying real data set (ZIP 18523 kb) Supplementary Software Snapshot (at time of publication) of the two GitHub repositories containing the code used to build the conquer database (https://github.co...
• Large AI clusters equipped with 3rd Gen Intel® Xeon® Scalable processors and Intel® Gaudi® 2 AI accelerators are used to train foundational multimodal models and leverage results across data, text, images, and video. Teams all over the world have been building models...
while potentially decreasing the costs of living in large groups, such as higher food competition, through breaking up into smaller subgroups and using different areas during foraging (Grueter et al.2020). Multi-level societies occur across a broad range of taxa, including elephants, zebras, and ...
across mRNAs. Magnitude of D varies within taxonomic classes and its calculation requires no gene reference sets, so that it can be applied to poorly characterized genomes [104]. Relative codon deoptimisation index (RCDI) is another index which compares the similarity in codon usage of a given ...