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

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Calibration Distributed Systems Llm Megatron-LM PyTorch Tensor Parallelism Uncertainty Actors Book-Review Circe

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30 pages

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Calibration

Hallucination-Detection

Llm

Semantic-Entropy

Uncertainty

Confidence

Evaluation

Selective-Prediction

Actors

Disaggregation

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