Introducing PandasAI: Generative AI Python Library

#pandas #ai #dataanalysis
PandasAI is a Python library that integrates generative AI capabilities into pandas, making data frames conversational. With simply a text prompt, you can produce insights from your data frame.

⏩ IMPORTANT LINKS

Enjoy reading articles? then consider subscribing to Medium membership, it is just 5$ a month for unlimited access to all free/paid content.

*********************************************
*********************************************

Tools I use for making videos :)

#techviz #datascienceguy #deeplearning #ai #openai #chatgpt #machinelearning

About Me:
I am Prakhar Mishra and this channel is my passion project. I am currently pursuing my MS (by research) in Data Science. I have an industry work-ex of 4+ years in the field of Data Science and Machine Learning with a particular focus on Natural Language Processing (NLP).

[AliAlias]

Thanks 🌹,
How to use open source LLM from hugging face locally using ctransformer or lamacpp library with Pandas Ai in offline mode? for example codellama or pandalytic gguf type

[NishantKumar-dwer]

can we use any other LLM apart from OpenAI

[ialbd]

Hi TechViz. Thanks for the content.

Do you think Pandas AI is really a production ready thing? The consistency in the response for the most basic dataframe max value type question was too low to take it seriously (local llms are even worse).

I was reading their documentation and with all the options like train/skills etc that are required to make any llm return consistent result simply defeats the purpose of using something like pandas ai.

If I have to write all the functions upfront, I can use function calling features of open ai/llama 3.

Anyways, pandas ai has potential, but maybe with proper funding/backing it can be something in a year. But right now the effort to make it production ready and consistent it needs the same amount of effort of a custom RAG based application.

Am I completely off?

[henrykuo]

I am always confused about the AI part. These are just data manipulation. If you put the data sets in a database, you can easily write queries to do the sorting and sum.