A project to build GPU acceleration for LLaMA models on local computers and AWS, leveraging GPU resources for efficient inference and training.
-
Updated
May 19, 2026 - Python
A project to build GPU acceleration for LLaMA models on local computers and AWS, leveraging GPU resources for efficient inference and training.
Air-gapped, on-prem LLM assistant for software engineering teams. No external network calls. Full audit trail. RBAC + OIDC/LDAP auth.
This project implements PDDL-INSTRUCT with Logical Chain-of-Thought (LCoT), a novel approach to improve Large Language Model (LLM) performance on automated planning tasks. The system enhances planning capabilities through:
CSNePS Knowledge Graph Service is a production-ready enterprise system that bridges symbolic AI reasoning with modern ontology engineering. The system combines CSNePS (Cognitive Systems for Natural language Processing and Structured information) - a powerful semantic network reasoning engine - with comprehensive OWL ontology support, advanced graph
Add a description, image, and links to the ai-ml-portfolio-llm topic page so that developers can more easily learn about it.
To associate your repository with the ai-ml-portfolio-llm topic, visit your repo's landing page and select "manage topics."