AI-Human collaboration platform that accelerates systematic reviews by organizing academic literature, building AI tools, and expanding into new domains to enhance the global knowledge catalog.
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Deploy Free Open-Source LLM on OpenShift for Backend Operations #19
Objective: Deploy a free open-source LLM through OpenShift to power RAG and other LLM-enhanced features.
Details:
• Select a free OS LLM (e.g., LLaMA 3.1).
• Configure and deploy the model as a service on OpenShift.
• Ensure it supports RAG and advanced query functionalities.
• Test integration with other backend components.
Dependencies: OpenShift environment setup and LLM-based application integration.
Acceptance Criteria:
• LLM deployed and operational on OpenShift.
• Successful LLM calls from backend applications, supporting RAG.
Objective: Deploy a free open-source LLM through OpenShift to power RAG and other LLM-enhanced features.
Details: • Select a free OS LLM (e.g., LLaMA 3.1). • Configure and deploy the model as a service on OpenShift. • Ensure it supports RAG and advanced query functionalities. • Test integration with other backend components.
Dependencies: OpenShift environment setup and LLM-based application integration.
Acceptance Criteria: • LLM deployed and operational on OpenShift. • Successful LLM calls from backend applications, supporting RAG.
Priority: High Estimated Effort: