Building Agentic AI Applications with F Data Framework: A Comprehensive Guide
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In this exhilarating episode on Krish Naik's channel, viewers are taken on a thrilling journey into the world of building cutting-edge agentic AI applications using a variety of frameworks. Krish's infectious enthusiasm sets the tone as he dives into the process of constructing independent agents and seamlessly integrating them to tackle complex workflows. The star of the show is the F Data framework, a powerhouse of open-source innovation that allows users to not only build AI agents but also monitor and deploy them with ease.
Krish's expert guidance shines through as he demonstrates the versatility of the F Data framework, highlighting its capability to create AI agents, multimodal agents, and intricate agentic workflows. The emphasis on integrating open-source models like Grok, Hugging Face, and AMA adds a layer of excitement to the discussion, showcasing the endless possibilities for AI enthusiasts. Krish's practical approach to coding shines through as he walks viewers through setting up a project from scratch, from creating a Python environment to defining essential requirements in a txt file.
The action-packed demonstration continues as Krish delves into the nitty-gritty of coding a financial agent in Python, importing powerful tools like Y Finance and DugDug Go Search for comprehensive web information retrieval. The creation of a web search agent, with a specific role to scour the internet for crucial data, adds a dash of intrigue to the proceedings. Krish's engaging storytelling style keeps viewers on the edge of their seats as he navigates through the intricacies of setting up and initializing agents for optimal performance in the dynamic world of AI applications.
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Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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