Synaptic Radio

Principal ML engineer focused on foundation models, agentic systems and scientific AI. I write about the math, systems and engineering judgement behind reliable ML workflows.

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Distributed Training Evaluation and Experimentation Inference and Serving Post-Training and Alignment GPU Systems and Performance Engineering Software Architecture Tensor Parallelism Deep-Learning Mechanisms Research Methodology Transformer Architecture

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Calibration Llm Confidence Distributed Systems Evaluation Megatron-LM PyTorch Tensor Parallelism Uncertainty Actors

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Improve LLM Calibration by Moving the Answer to the User Message

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