Adaptive Optimization of Prompts, Models and Generation Strategies

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Documentation for package ‘AutoGenAI’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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AutoGenAI-package	Adaptive Optimization of Prompts, Models and Generation Strategies
abstain_decision	Optimize and select generative AI configurations
ai_ensemble	Combine repeated or multi-provider outputs
ai_provider	Create generative AI providers
ai_task	Define an AutoGenAI task and scorer
AutoGenAI	Adaptive Optimization of Prompts, Models and Generation Strategies
autogenai_example	Create an offline AutoGenAI example
benchmark_ai	Benchmark generative AI configurations
budget_optimize	Optimize and select generative AI configurations
consensus_vote	Combine repeated or multi-provider outputs
crossover_prompt	Prompt search and cross-provider generalization
default_scorer	Define an AutoGenAI task and scorer
evaluate_config	Benchmark generative AI configurations
evolve_prompt	Prompt search and cross-provider generalization
latency_optimize	Optimize and select generative AI configurations
mock_provider	Create generative AI providers
model_generalization	Prompt search and cross-provider generalization
mutate_prompt	Prompt search and cross-provider generalization
optimize_ai	Optimize and select generative AI configurations
optimize_generation	Benchmark generative AI configurations
pareto_ai	Optimize and select generative AI configurations
perturb_text	Stress-test generative AI inputs
plot.autogenai	Methods for AutoGenAI optimization objects
predict.autogenai	Methods for AutoGenAI optimization objects
print.autogenai	Methods for AutoGenAI optimization objects
print.autogen_provider	Create generative AI providers
print.autogen_task	Define an AutoGenAI task and scorer
prompt_candidates	Prompt search and cross-provider generalization
prompt_portability	Prompt search and cross-provider generalization
robustness_score	Stress-test generative AI inputs
router_regret	Train and evaluate an adaptive provider router
route_model	Train and evaluate an adaptive provider router
select_configuration	Optimize and select generative AI configurations
self_consistency	Combine repeated or multi-provider outputs
stress_test	Stress-test generative AI inputs
summary.autogenai	Methods for AutoGenAI optimization objects
train_router	Train and evaluate an adaptive provider router
update_router	Train and evaluate an adaptive provider router