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Propose to include nmstate-yamlsmith project to the nmstate organizaiton #4
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@ffmancera @tyll @cathay4t , your opinion matters, please vote at your convenience. |
+1 |
I'm fine with what @ffmancera or @cathay4t decide. |
Can/will the model also accept incorrect YAML and correct it? |
Regarding the integration test: Can it train a minimal model with just one example to show that it works? |
I need to take a look at the service/model from Ansible lightspeed team to see if they also support taking the tasks/playbooks in YAML format as the input besides the natural language description. Also, I need to see if the user At the current stage, for our own model, we may not expect the model to take the natural language description and the YAML state examples to generate the desired YAML state. Maybe you are asking what if the model generates the YAML state example in incorrect YAML format? First of all, I think that it depends on whether the pretraining will suffice to make the model generate the output in the correct YAML format all the time. I can not say for sure without actually testing the model after the training. If there are indeed some simple style issues (e.g. indentation), I think that we can use the standard indentation and style rules set by |
Ok, let me curate/create some data and train it to see if it works practically. |
I made a lot of progress on it, the following is generated by model:
|
The pertaining integration test is added. liangwen12year/nmstate-yamlsmith#7 |
The integration tests were added to the pretaining pipeline, training pipeline, and evaluation pipeline. |
I propose to add nmstate-yamlsmith
as a project under the
nmstate
organizationnmstate-yamlsmith
is a project intended to create the Nmstate YAMLsmith Model fortranslating natural language into nmstate states in real-time and low latency, and the
generated states will also conform to nmstate state syntax.
nmstate-yamlsmith
project will make network management more intuitive and lessdaunting than traditional network management tools. The YAMLsmith model can
significantly speed up the process of network configuration by reducing the
complexity and time required to write and debug YAML configuration files manually.
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