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Search Model Tuning , found 40 results

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Mistral Cost Tuning

mistral-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimizes Mistral AI spending by selecting models per task, estimating token costs, enforcing daily/monthly budgets, monitoring usage, and tightening prompts—ideal for teams watching billing, cutting API spend, and triggering budget alerts.

Mistral Performance Tuning

mistral-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams on reducing latency and improving throughput when integrating Mistral AI by selecting low-latency models, enabling streaming, caching deterministic requests, trimming prompts, and managing request concurrency.

Mixed Precision Trainer

mixed-precision-trainer

jeremylongshore/claude-code-plugins-plus-skills

Automates mixed precision ML training workflows by surfacing best practices, generating runnable code/configurations, and validating setups across data prep, model tuning, and experiment tracking.

Optuna Study Creator

optuna-study-creator

jeremylongshore/claude-code-plugins-plus-skills

Auto-activating ML training skill that kicks in whenever you mention optuna study creator, then guides you through data prep, model training, hyperparameter tuning, and experiment tracking with production-ready code and validations.

Perplexity Cost Tuning

perplexity-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimize Perplexity AI search billing by routing queries to the right model, caching responses, limiting token output, filtering domains, and monitoring usage so your API spend stays predictable.

Perplexity Performance Tuning

perplexity-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimize Perplexity Sonar API calls by selecting appropriate models, caching query hashes, streaming long research, and batching deduplicated requests for faster, cost-effective research or fact-checking workflows.

Pytorch Model Trainer

pytorch-model-trainer

jeremylongshore/claude-code-plugins-plus-skills

Automates PyTorch training workflows by guiding data preparation, model configuration, hyperparameter tuning, and experiment tracking while following industry best practices for production readiness.

LLM Quantization Toolkit

quantizing-models-bitsandbytes

Orchestra-Research/AI-Research-SKILLs

Quantizes LLMs to 8-bit or 4-bit to cut memory by 50-75%, letting inference and QLoRA fine-tuning run on constrained GPUs while keeping accuracy high; supports Bitsandbytes, NF4/INT8 formats, 8-bit optimizers, and HuggingFace Transformers.

Retell AI Cost Tuning

retellai-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through analyzing Retell AI billing, tuning call durations, choosing cheaper voice models, and monitoring usage so they can reduce minute-based voice-agent costs and set budget alerts.

ROC Curve Plotter

roc-curve-plotter

jeremylongshore/claude-code-plugins-plus-skills

Automates ROC curve plotting tasks in ML training, guiding data prep, model training, tuning, tracking, and code generation for production-ready results.

Sklearn Pipeline Builder

sklearn-pipeline-builder

jeremylongshore/claude-code-plugins-plus-skills

Automates sklearn pipeline builder tasks within ML training, activating on relevant triggers to guide data prep, model training, hyperparameter tuning, and experiment tracking with production-ready code and standards validation.

Tensorflow Model Trainer

tensorflow-model-trainer

jeremylongshore/claude-code-plugins-plus-skills

Auto-activating skill that guides tensorflow model trainer workflows, covering data preparation, model training, hyperparameter tuning, and experiment tracking with production-ready code and standards validation.

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