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Short description of what should be added or improved
There are a few issues/concerns with the LangChain documentation,
The parameters CREATE ML_ENGINE command in the Setup section is bounded by square brackets. I am not sure if this is intentional, but it might be confusing.
Prompt templates require at least one placeholder ({{}}). In the examples given for each type of provider, none have been used.
In the Describe Data section, the tool_based_agent created previously has been used to describe a table a connected data source. Is it possible to do this without specifying a tool? I cannot seem to do so. The same model has been used for similar operations in the sections that follow.
The simple model that has been created here (tool_based_agent) can also be used to run simple 'predictions'. Should we add an example of this and include tools in a different section? For example, we can run simple predictions like this one like we would with OpenAI (without providing USING args) and that might be a good starting point before diving into tools?
Video or screenshots
No response
Anything else?
No response
The text was updated successfully, but these errors were encountered:
Short description of what should be added or improved
There are a few issues/concerns with the LangChain documentation,
The parameters
CREATE ML_ENGINE
command in the Setup section is bounded by square brackets. I am not sure if this is intentional, but it might be confusing.Prompt templates require at least one placeholder (
{{}}
). In the examples given for each type of provider, none have been used.In the Describe Data section, the
![image](https://private-user-images.githubusercontent.com/49385643/339505417-5cc268de-7069-4b0a-a619-c7707476706e.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.pDEdxqBLO95V6Poy2RNxxFKgitFuWEVcA3Ttx6d4uLk)
tool_based_agent
created previously has been used to describe a table a connected data source. Is it possible to do this without specifying a tool? I cannot seem to do so. The same model has been used for similar operations in the sections that follow.The simple model that has been created here (tool_based_agent) can also be used to run simple 'predictions'. Should we add an example of this and include tools in a different section? For example, we can run simple predictions like this one like we would with OpenAI (without providing
![image](https://private-user-images.githubusercontent.com/49385643/339506623-cfbe1127-ef86-48c4-9a63-d858d1e5a4c5.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.mMGofYJsOx55fmGul2VZ1tzu0QNJzCHLDIs_5KW2qAA)
USING
args) and that might be a good starting point before diving into tools?Video or screenshots
No response
Anything else?
No response
The text was updated successfully, but these errors were encountered: