How To Create AI Agents that Query Data! AI Copilot for Your Data - Excel and MySQL!
4.3 هزار بار بازدید -
5 ماه پیش
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In this video, we delve
In this video, we delve into the transformative capabilities of Vectorshift, your specialized copilot for data analysis. Whether you're working with SQL, CSV, VS, Polars, or other file formats, VectorShift empowers you with seamless interaction, leveraging LLMS and RAG models to enhance your data experience.
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[Linkl's Used]:
Website: https://vectorshift.ai/
Docs: https://docs.vectorshift.ai/vectorshift/
Today's video centers around the creation of AI agents adept at handling tabular data, bolstering their capability to process numerical values. While conventional language models excel in contextual comprehension, numerical data often poses a challenge. Our objective is to craft an AI agent proficient in processing vast amounts of numerical data, including financial reports for renowned companies like Ford. Stay tuned as we unravel the intricacies of developing and showcasing this AI agent throughout the video.
Key Takeaways:
- Explore the potential of AI automation through chatbots with Vectorshift.
- Witness the creation of AI agents tailored for handling tabular data efficiently.
- Understand the significance of numerical data processing in AI applications.
- Gain insights into deploying AI agents to analyze financial reports for companies like Ford.
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Additional Tags and Keywords:
AI automation, chatbot deployment, Vectorshift tutorial, numerical data processing, AI agents, financial data analysis, Ford financial reports, AI applications, machine learning, artificial intelligence.
Hashtags:
#aiautomationagency #ChatbotDeployment #Vectorshift #NumericalDataProcessing #aiagents #FinancialDataAnalysis #Ford #machinelearning #artificialintelligence
5 ماه پیش
در تاریخ 1403/02/20 منتشر شده
است.
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