These LangChain agents and tools are very interesting, thank you! 😀🙏 Defining a custom tool also looks cool, as interface to your own API backend in Django / FastAPI or so.
Thanks for the informative video. I did find it amusing that the AI said females were MORE likely to survive even though they had a LOWER survival score of 2.159 vs the males as 2.389. I suppose we should take this as a cautionary discussion that you really cannot assume it will always give the right answer.
Thanks for the great video! I am running into issues with big datasets and the JSON Agent, that it doesn't consider all the data, just basically that fits into the context window. From my understanding, it is supposed to overcome the context window issue. Any advice on this?
Thank you for this video! I am having trouble using pandas agent: When I ask for more than one answer in the same question it throws errors at me. If I ask for the name or I ask for the age of the oldest passenger, no problem sending me the result. But if I ask for the name and age of the oldest passenger I get a JSONDecodeError, Thoughts?
Have you tried using a open source model for this? Most times OpenAi will not be usable, specially if your data contains sensitive or personal information.
i am using sqldatabase toolkit at an enterprise ,data is huge.When i am using this toolkit i am getting max tokens error and query is totally depend upon the toolkit.Can you tell me how to modify sqldatabase toolkit and is this possible to get 100% accuracy?
I am getting this error pydantic.error_wrappers.ValidationError: 1 validation error for JsonToolkit spec value is not a valid dict (type=type_error.dict)
These LangChain agents and tools are very interesting, thank you! 😀🙏
Defining a custom tool also looks cool, as interface to your own API backend in Django / FastAPI or so.
Thanks Sil!
Thanks for the informative video. I did find it amusing that the AI said females were MORE likely to survive even though they had a LOWER survival score of 2.159 vs the males as 2.389. I suppose we should take this as a cautionary discussion that you really cannot assume it will always give the right answer.
Thank you very much for your work
You're welcome!
Thanks for the great video!
I am running into issues with big datasets and the JSON Agent, that it doesn't consider all the data, just basically that fits into the context window. From my understanding, it is supposed to overcome the context window issue. Any advice on this?
Thank you for this video! I am having trouble using pandas agent: When I ask for more than one answer in the same question it throws errors at me.
If I ask for the name or I ask for the age of the oldest passenger, no problem sending me the result.
But if I ask for the name and age of the oldest passenger I get a JSONDecodeError, Thoughts?
Have you tried using a open source model for this? Most times OpenAi will not be usable, specially if your data contains sensitive or personal information.
i am using sqldatabase toolkit at an enterprise ,data is huge.When i am using this toolkit i am getting max tokens error and query is totally depend upon the toolkit.Can you tell me how to modify sqldatabase toolkit and is this possible to get 100% accuracy?
I am getting this error
pydantic.error_wrappers.ValidationError: 1 validation error for JsonToolkit
spec
value is not a valid dict (type=type_error.dict)
Please make a video on how to have chat continuation in pandas agent
Hey I am usign Azureopenai LLM model but constantly parsing error. Can you help?
have you checked openSSM?seems interesting