The team has started to work on the MLOps stack for Data Labeling. Both traditional machine learning training, and fine tuning of generative AI models, requires labeled data. The first goal for this KR is to conduct an ecosystem evaluation of open source labeling...
This project uses efficient eBPF probers to monitor various perf counters, kernel scheduling parameters, and system configurations to expose energy consumptions by each container and Pod, through Prometheus metrics provider API. These metrics can be used for customer...
A useful application of foundation models, or large language models (LLMs), is documentation search. LLMs can expand the scope of product support, enabling users to access specific details and insights without the need to manually sift through voluminous documents....
