Notes and findings from work in progress. Quantitative finance, ML systems, and the engineering challenges that come with both.https://theelixirslab.com/en-ushttps://theelixirslab.com/research/regime-detection/https://theelixirslab.com/research/regime-detection/We propose a Hidden Markov Model approach to detect regime shifts in markets where standard volatility-clustering signals are unreliable due to thin trading. Tested across NGX, NSE, and BVMW.Fri, 15 May 2026 00:00:00 GMTQuantTime serieshttps://theelixirslab.com/research/rag-llama-openvino/https://theelixirslab.com/research/rag-llama-openvino/A complete retrieval-augmented generation system pairing Llama-3.1 8B Instruct with Intel's OpenVINO GenAI toolkit. INT4 quantization cuts model size by 73% with under 5% quality loss; FAISS-GPU vector search and a heterogeneous Intel-plus-NVIDIA pipeline give 2–5 second query latency on a single workstation, with no cloud dependency.Wed, 15 Oct 2025 00:00:00 GMTRAGQuantizationOpenVINOLlamaEdge inference