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- 🦄 Unitxt: a python library for getting data fired up and set for training and evaluation
- Responsible Prompting is an LLM-agnostic tool that aims at dynamically supporting users in crafting prompts that reflect responsible intentions and help avoid undesired or negative outputs.
Kubernetes-Lite
Public- A Wikidata-based framework for integrating knowledge sources
- A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
- The IBM Spectrum Scale Container Storage Interface (CSI) project enables container orchestrators, such as Kubernetes and OpenShift, to manage the life-cycle of persistent storage.
- IBM Cloud Paks are enterprise-grade containerized software by combining container images with enterprise capabilities for deployment in production use cases with integrations for management and lifecycle operations. Features such as pre-configured deployments based on product expertise, rolling upgrades, and management of production workloads.
- A collection of Universal connector plug-ins for IBM Guardium Data Protection and IBM Guardium Insights. A universal connector allows Guardium customers to digest data activity events from various data sources and to quickly develop such a plug-in, if required.
- IBM watsonx Code Assistant for Red Hat Ansible Lightspeed demystifies the process of Ansible Playbook creation through generative AI-powered content recommendations. This repository contains sample end-to-end demos, guidelines for best prompting practices, and guidelines for model customization.
- Source code for the IBM Granite AI Model Workshop
- Assured confidential execution (ACE) implements VM-based trusted execution environment (TEE) for RISC-V with focus on a formally verified and auditable security monitor.