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from ragas.testset import TestsetGenerator
from ragas.testset.evolutions import simple, reasoning, multi_context
test_generator = TestsetGenerator(
generator_llm=bedrock_model,
critic_ll…
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I am currently using Ragas to evaluate my RAG application, which is built using llama index . I've encountered a few issues in the generated results:
1- When generating queries using `TestsetGenera…
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我在运行Generation_synthetic_data.py时,一直不出结果,这个程序的运行顺序是不是,先在第二个文件中获取数据集,放到第一个文件中,运行build_N文件,然后加入噪音,合成数据,最后把得到的数据放在第三个文件中,对比相似的
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Dear Ax Team,
I am currently trying to run a MOMF use case in the Service API; have been mostly consulting the BoTorch tutorials for this, and so far I have come up with the following repro that se…
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# Description
The first huge difficulty for training an AI assistant is to get a dataset reach enough and big enough for starting the training at all.
ChatLLaMA needs three different type of da…
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ValueError: Layer encoder weight shape (3, 5, 200) is not compatible with provided weight shape (120, 200).
Why is there such an error when using VAE dense
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Hi,
It is really great work and useful in real robot applications.
Would you share the details on how to use the augmented NDDS tools to make the datasets? It seems that the official provided NDDS …
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After support for new types of `` were added to jOOQ 3.14 (#10588), another type of synthetic object could be synthetic ``. For example:
```xml
CATALOG
SCHEMA
…
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Linked to #70
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