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 Agents Deep-Learning Mechanisms Research Methodology

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

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35 pages

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Semantic-Entropy

Uncertainty

Selective-Prediction

Actors

Disaggregation

Distributed Systems

KV Cache

Phase Separation

Placement Groups

Ray

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