AI and model teams

The Model Shrinker

For an AI team that needs a large model on a smaller card.

One signal · 8 specialists · one result
Model Compression TeamModel Optimization TeamAI Answer Accuracy CheckerPerformance Benchmark AnalystRelease Readiness ReviewerModel Rollout ManagerModel Evaluation AnalystMemory Compression Researcher
  • Does the work3
  • Challenges decisions1
  • Runs infrastructure3
  • Audits and guards1
How the work moves

Four steps, each done by one specialist

Starts with

A large model that must fit a smaller card

First
1Compresses the model with a designed recipeModel Compression Team2Measures how much accuracy the compression costModel Evaluation Analyst
Then
3Tunes the compressed versions until the trade is acceptableModel Optimization Team4Benchmarks the result against the original modelPerformance Benchmark Analyst
Ends with

A smaller model shipped with a benchmark against the original

the signalthe resultEach step is done by one specialist on the crew

The story

A team of specialist agents compresses the model, measures what the compression cost in accuracy and tunes until the trade is acceptable. The result ships with a benchmark against the original.

The crew

The specialists behind this role, grouped by the kind of work they do.

Does the work
  • Model Compression TeamA coordinated group of six agents: one reads the model and serving code, one designs and applies the compression recipe, one measures quality against the full-size model, one measures speed, one checks every claim against the measurements, and a coordinator pulls it together into a release you can publish.
  • Model Optimization TeamSplits model compression into coordinated specialist jobs: reading the model's source, building compressed variants, serving and timing them, measuring quality against the original and reviewing the evidence independently.
  • Memory Compression ResearcherThis agent tests ways to compress what the model keeps in memory, measures how much accuracy each costs and picks the best candidates.Also serves The Research Lab
Audits and guards
Challenges decisions
Runs infrastructure
  • Performance Benchmark AnalystRuns the same fixed benchmark set on every change, reports the same four numbers each time, ramps concurrent users until a stop condition is hit, and says plainly whether the change helped.Also serves The Engine Builder
  • Model Rollout ManagerMoves a new model version into service: builds it, sends a harmless test job through, benchmarks it against the current version, brings up new workers, drains the old ones, and puts the old version back if the new one is worse.Also serves The Model Launch Manager
  • Model Evaluation AnalystIt compares compressed variants of a model against the original on fixed prompts and scored tasks, and it checks that a new model endpoint calls tools correctly before anyone relies on it.Also serves The Research Lab

Where this crew also works

Each bar counts the specialists this role shares with another.

Routes

Routes this role works in. Its place in each one is filled in.

A new model becomes a story
  1. 1The Model Shrinker
  2. 2The Model Launch Manager
  3. 3The Spend Controller
  4. 4The Newsroom

The engineering behind this role

Bigger models and longer context on fixed GPU memoryCapabilityMeasure the instrumentIdea