Automate prompt engineering
50x times faster than a human
Automate
prompt engineering
50x times faster than a human
Automate
prompt engineering
50x times faster than a human
Optimize prompts for your LLM app in minutes
with just a few lines of code
Optimize prompts for your LLM app in minutes
with just a few lines of code
from weavel import Weavel
from ape.common.metrics import JsonMatchMetric
wv = Weavel()
optimized_prompt = await wv.optimize(
base_prompt=base_prompt,
models=["claude-3-5-sonnet-20240620", "gpt-4o"],
metric=JsonMatchMetric(),
trainset=trainset,
)from weavel import Weavel
from ape.common.metrics import JsonMatchMetric
wv = Weavel()
optimized_prompt = await wv.optimize(
base_prompt=base_prompt,
models=["claude-3-5-sonnet-20240620", "gpt-4o"],
metric=JsonMatchMetric(),
trainset=trainset,
)
Ape outperforms
Ape outperforms
Ape outperforms
Ape achieves an impressive 93% on the GSM8K benchmark,
surpassing both DSPy (86%) and base LLMs (70%).
Ape achieves an impressive
93% on the GSM8K benchmark,
surpassing both DSPy (86%) and base LLMs (70%).
Vanilla
54.5%
CoT
87.5%
DSPy
90.0%
Ape
94.5%
(Tested on gpt-4o)
(Tested on gpt-4o)