by nhr | Dec 5, 2023
This project is another continuation of Kepler focusing on energy efficiency workload scheduling. This is through a collaboration between ET and IBM Research.
by nhr | Dec 5, 2023
Study some open vector-db approaches – these will include things like postgressql+vector plugin but also purpose built tools like milvus. Evaluate for “ergonomics” and also performance. Performance may include throughput or retrieval metrics.
by nhr | Dec 5, 2023
Use generative AI code generation to automatically port CVE patches across multiple versions of Red Hat Products. Based on historical examples of applied patches, Red Hat ET will leverage or fine-tuning large code and language models developed at IBM Watson only...
by nhr | Dec 5, 2023
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...
by nhr | Dec 5, 2023
Instant access to the company’s internal data & documentation via a LLM-assisted chatbot that is integrated into tools Red Hatters already use. Project Engagement: GitHub:...
