Summary
This video introduces the FI Data framework for building AI assistants with memory, knowledge, and tools. It showcases the integration of the LMoS framework, with a demonstration of running it on AWS. Viewers are guided on setting up the environment, creating the codebase, running the LMoS using Docker, and deploying it on AWS. The video also covers testing the functionality of the LMoS, adding assistants, customizing functionalities, and transforming it into an API. Don't forget to explore the FI Data framework and LMoS by following the creator on social media platforms.
Introduction to FI Data
Introduction to the FI Data framework for building AI assistants with memory, knowledge, and tools. Creator has introduced updates and integration with LMoS framework inspired by another YouTuber.
Implementing LMoS on AWS
Demonstration of running the LMoS on AWS proposed by Andrej Karpathy. Setting up the environment, creating the codebase, and running the LMoS using Docker locally or on AWS.
Creating AI Assistants with LMoS
Instructions for creating AI assistants using the LMoS framework. Setting up the workspace, cloning the LMoS template, adding necessary components, and running the LMoS.
Testing and Adding Functionality to LMoS
Testing the LMoS functionality by adding blog posts, asking questions, using the calculator, and exploring different capabilities. Adding more assistants and customizing the LMoS functionalities.
Deploying LMoS on AWS
Guide on deploying the LMoS on AWS, configuring settings, adding AWS resources, setting up security groups, deploying the application, accessing through load balancer, monitoring in AWS console, and using Route 53 for domain pointing.
Testing and Conclusion
Testing the deployed LMoS, adding a blog post, testing complex queries, and transforming LMoS into an API. Encouragement to explore FI Data framework and LMoS, along with subscribing and following the creator on social media platforms.
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