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Million-Token Machine, Part 3: Training and Serving at Scale
Part three of Million-Token Machine follows the journey from a training recipe to a production serving system. Data curation, optimization, balancing and low-precision computation connect model development to its resource requirements. The episode then reads performance claims alongside deployment costs, agent workloads and the limits acknowledged in technical reports. It closes the series by bringing architecture, training and serving into one economic and engineering picture.
Created by Sankalp Thakur. A Transient Labs production.
Website: https://transientlabs.ai
GitHub…
The skinny
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