
Contributed to the kilian-group/phantom-wiki repository by developing and optimizing Retrieval-Augmented Generation (RAG) workflows for large language model-based wiki generation. Focused on consolidating RAG core logic with multi-GPU support, integrating Chain-of-Thought reasoning, and modernizing launch scripts for reproducibility and maintainability. Refactored agent initialization and argument parsing to reduce coupling and improve model-specific handling, while enhancing evaluation workflows through batched offline inference and improved documentation. Addressed stability and performance by fixing retrieval bugs and updating embedding models. Leveraged Python, Bash, and deep learning frameworks to deliver robust backend infrastructure, emphasizing code clarity, reproducibility, and alignment with production requirements.
February 2025 monthly summary for kilian-group/phantom-wiki. Focused on reducing initialization coupling, optimizing RAG inference workflow, and improving internal clarity through documentation updates. The changes delivered improved robustness, maintainability, and alignment with production workflows for LLM-based wiki generation.
February 2025 monthly summary for kilian-group/phantom-wiki. Focused on reducing initialization coupling, optimizing RAG inference workflow, and improving internal clarity through documentation updates. The changes delivered improved robustness, maintainability, and alignment with production workflows for LLM-based wiki generation.
January 2025 (2025-01) — Phantom Wiki (kilian-group) monthly summary focusing on RAG/wizardry, infra, and developer experience. Highlights include a consolidated RAG Core with multi-GPU support and CoT integration, extensive repo hygiene and launch-script modernization, reproducibility improvements, and a set of stability fixes that reduced runtime noise and improved retrieval behavior.
January 2025 (2025-01) — Phantom Wiki (kilian-group) monthly summary focusing on RAG/wizardry, infra, and developer experience. Highlights include a consolidated RAG Core with multi-GPU support and CoT integration, extensive repo hygiene and launch-script modernization, reproducibility improvements, and a set of stability fixes that reduced runtime noise and improved retrieval behavior.

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