Generative AI & LLM Engineering Foundations
Observe Without Exposing
Use telemetry and rollout gates to detect failures while limiting unnecessary collection of user content.
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- From Tokens to Context — Free preview
Use a tiny attention calculation to distinguish model representations from understanding, memory, and truth.
- Datasets That Can Disagree With You — Free preview
Split related examples together, define loss targets deliberately, and prevent evaluation leakage.
- Adapt With a Measured Budget — Sign-in access
Understand low-rank updates and quantization costs before choosing optional hardware-heavy experiments.
- Make Baselines Hard to Beat — Sign-in access
Compare candidates using category-level errors, abstentions, and a frozen evaluation protocol.
- Proposals Before Actions — Free preview
Keep model-generated suggestions separate from authorized tool execution and durable workflow state.
- Latency Has Components — Sign-in access
Measure request stages and design caches that respect versions, identity, and changing access rules.
- Observe Without Exposing — Sign-in access
Use telemetry and rollout gates to detect failures while limiting unnecessary collection of user content.
- Release Signal Bench — Sign-in access
Integrate the offline classifier, review workflow, measurements, and compatible rollback into a demonstrable capstone.