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Datapipelines In cases where you need to provide contextual data to the foundation model using the RAG pattern, you need a datapipeline that can ingest the source data, convert it to embedding vectors, and store the embedding vectors in a vector database.
Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a datapipeline. He currently is working on Generative AI for data integration. Clay Elmore is an AI/ML Specialist Solutions Architect at AWS. He is the author of the upcoming book “What’s Your Problem?”
FER, Facial Expression Recognition, is an open-source dataset released in 2013. BECOME a WRITER at MLearning.ai // FREE ML Tools // Clearview AI Mlearning.ai Let’s take a moment to break down the project architecture shown above before we dive into the code. What is the FER dataset? If you have any questions, feel free to reach out.
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