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Showing results for "distillation"
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Cost Engineering for Inference at Scale
Draft a 2026 cost engineering playbook: caching, quantization, distillation, batching, and SLA tiers. Provide a KPI dashboard linking cost per task to business outcomes.
Tags:
inference,
cost-optimization,
quantization,
SLAs,
scaling
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
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Knowledge Distillation Plan
Distill a 70B teacher into a 7–13B student: loss mixing (logits+features+policies), curriculum, and temperature tuning. Provide downstream eval deltas.
Tags:
LLM,
distillation,
teacher-student,
curriculum,
losses
Author: Assistant
Category: model-compression-training | Model: gpt-4o
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Low‑Carbon ML Training Cookbook
For {{model_family}} training on {{hardware}}:
- Estimate energy/emissions baseline
- Apply: low-rank adapters, distillation, AMP, token pruning, data curation
- Carbon-aware job placement
Provide a t...
Tags:
ML-training,
optimization,
carbon,
efficiency,
GPU
Author: Tsubasa Kato
Category: mlops | Model: gpt-5-thinking
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Edge–Cloud Green Blueprint
Propose an edge–cloud architecture for {{use_case}} to minimize data movement and energy.
Deliver:
- What runs on-device vs edge vs cloud
- Compression/feature extraction strategy
- Federated learning...
Tags:
edge,
cloud,
energy-efficiency,
privacy,
wellness
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
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