Large Language Models with MLX
An empirical study of GRPO, controlled ablations, uncertainty, and failure modes in reinforcement learning with verifiable rewards.
Sequence classification models for personalized size prediction in luxury fashion — LSTMs, attention mechanisms, and a published paper at ACM RecSys 2023.
Local-first RAG pipeline with hybrid search: BM25 + dense retrieval on Elasticsearch, LlamaIndex orchestration, and Llama3 for generation. Evaluated with RAGAS metrics across chunking strategies and retrieval configurations.
Parameter-efficient fine-tuning from first principles — every matrix decomposition derived and implemented in PyTorch without libraries. Validated against Hugging Face PEFT outputs for correctness.
Chat inference on Apple Silicon using MLX — exploring the runtime, quantization options, and packaging story for local LLM deployment with Mistral and Llama2.