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PandasAI Ep 02: Overcome API Rate Limits with Local Models

In this video, we take our Pandas AI journey to the next level by overcoming the limitations of the API with Ollama, a local large language model! 🚀

We'll guide you step-by-step on how to install Ollama on Windows, run the "mistral-nemo" model, and integrate it with Pandas AI to perform natural language queries on your data-all without API limits! 🎉

If you've got a powerful GPU and you're ready to unlock the full potential of Pandas AI, this tutorial is for you. We'll also walk you through the code in real-time, so you can understand each step as we build our setup together.

Want to learn how to set up Ollama on an SSH server? Drop a comment below and let me know! 👇

Don't forget to like, comment, and subscribe if you found this video helpful! And stay tuned for our next lesson, where we'll learn how to scrape the latest stock data and interpret it with Pandas AI. 💡
#PandasAI #Ollama #DataAnalysis #AI #Python #LocalLLM #MistralNemo #MachineLearning #DeepLearning #ArtificialIntelligence #StockMarketAnalysis #DataScience #PythonProgramming #GPUComputing #AIForData #TimeSeriesAnalysis #NLP #NaturalLanguageProcessing #CodeTutorial #Linux #Windows #MacOS #OpenSource #TechTutorial #SSHSetup #DataEngineering #datavisualization

Видео PandasAI Ep 02: Overcome API Rate Limits with Local Models канала Nicholas Facciola
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